From 90d34a8d617ba10cfc57a1b788a68892abb0a5ec Mon Sep 17 00:00:00 2001
From: pseudo-rnd-thoughts <pseudo-rnd-thoughts@users.noreply.github.com>
Date: Wed, 2 Jul 2025 22:33:00 +0000
Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20Farama-F?=
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diff --git a/.buildinfo b/.buildinfo
index 8a0801519..4f9cab126 100644
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diff --git a/404.html b/404.html
index 0c2596cb8..0bf859d4c 100644
--- a/404.html
+++ b/404.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="/introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="/introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="/introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="/introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="/introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="/introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
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+<li class="toctree-l2"><a class="reference internal" href="/tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="/tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="/tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="/tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="/tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="/tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="/tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/README/index.html b/README/index.html
index 639e54e2c..b16adc0c3 100644
--- a/README/index.html
+++ b/README/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
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+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
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diff --git a/_downloads/59d32aca01d2a167e2c4cd11db2248db/action_masking_taxi.py b/_downloads/59d32aca01d2a167e2c4cd11db2248db/action_masking_taxi.py
new file mode 100644
index 000000000..f55666f1a
--- /dev/null
+++ b/_downloads/59d32aca01d2a167e2c4cd11db2248db/action_masking_taxi.py
@@ -0,0 +1,297 @@
+"""
+Action Masking in the Taxi Environment
+======================================
+
+This tutorial demonstrates how to use action masking in the Taxi environment to improve reinforcement learning performance by preventing invalid actions.
+
+The Taxi environment is a classic grid world problem where a taxi needs to pick up a passenger and drop them off at their destination. In this environment, not all actions are valid at every state - for example, you can't drive through walls or pick up a passenger when you're not at their location.
+
+Action masking is a technique that helps reinforcement learning agents avoid selecting invalid actions by providing a binary mask that indicates which actions are valid in the current state. This can significantly improve learning efficiency and performance.
+
+Understanding the Taxi Environment
+----------------------------------
+
+The Taxi environment has 6 possible actions:
+
+- 0: Move south (down)
+- 1: Move north (up)
+- 2: Move east (right)
+- 3: Move west (left)
+- 4: Pickup passenger
+- 5: Drop off passenger
+
+The environment provides an ``action_mask`` in the info dictionary returned by ``reset()`` and ``step()``.
+This mask is a binary array where 1 indicates a valid action and 0 indicates an invalid action.
+
+How Action Masking Works
+------------------------
+
+Action masking works by constraining the agent's action selection to only valid actions:
+
+1. During exploration: When selecting random actions, we only choose from the set of valid actions
+2. During exploitation: When selecting the best action based on Q-values, we only consider Q-values for valid actions
+3. During Q-learning updates: We compute the maximum future Q-value only over valid actions in the next state
+
+Let's implement this step by step:
+"""
+
+import random
+from pathlib import Path
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import gymnasium as gym
+
+
+# Base random seed for reproducibility
+BASE_RANDOM_SEED = 58922320
+
+
+def train_q_learning(
+    env,
+    use_action_mask: bool = True,
+    episodes: int = 5000,
+    seed: int = BASE_RANDOM_SEED,
+    learning_rate: float = 0.1,
+    discount_factor: float = 0.95,
+    epsilon: float = 0.1,
+) -> dict:
+    """Train a Q-learning agent with or without action masking."""
+    # Set random seeds for reproducibility
+    np.random.seed(seed)
+    random.seed(seed)
+
+    # Initialize Q-table
+    n_states = env.observation_space.n
+    n_actions = env.action_space.n
+    q_table = np.zeros((n_states, n_actions))
+
+    # Track episode rewards for analysis
+    episode_rewards = []
+
+    for episode in range(episodes):
+        # Reset environment
+        state, info = env.reset(seed=seed + episode)
+        total_reward = 0
+        done = False
+        truncated = False
+
+        while not (done or truncated):
+            # Get action mask if using it
+            action_mask = info["action_mask"] if use_action_mask else None
+
+            # Epsilon-greedy action selection with masking
+            if np.random.random() < epsilon:
+                # Random action selection
+                if use_action_mask:
+                    # Only select from valid actions
+                    valid_actions = np.nonzero(action_mask == 1)[0]
+                    action = np.random.choice(valid_actions)
+                else:
+                    # Select from all actions
+                    action = np.random.randint(0, n_actions)
+            else:
+                # Greedy action selection
+                if use_action_mask:
+                    # Only consider valid actions for exploitation
+                    valid_actions = np.nonzero(action_mask == 1)[0]
+                    if len(valid_actions) > 0:
+                        action = valid_actions[np.argmax(q_table[state, valid_actions])]
+                    else:
+                        action = np.random.randint(0, n_actions)
+                else:
+                    # Consider all actions
+                    action = np.argmax(q_table[state])
+
+            # Take action and observe result
+            next_state, reward, done, truncated, info = env.step(action)
+            total_reward += reward
+
+            # Q-learning update
+            if not (done or truncated):
+                if use_action_mask:
+                    # Only consider valid next actions for bootstrapping
+                    next_mask = info["action_mask"]
+                    valid_next_actions = np.nonzero(next_mask == 1)[0]
+                    if len(valid_next_actions) > 0:
+                        next_max = np.max(q_table[next_state, valid_next_actions])
+                    else:
+                        next_max = 0
+                else:
+                    # Consider all next actions
+                    next_max = np.max(q_table[next_state])
+
+                # Update Q-value
+                q_table[state, action] = q_table[state, action] + learning_rate * (
+                    reward + discount_factor * next_max - q_table[state, action]
+                )
+
+            state = next_state
+
+        episode_rewards.append(total_reward)
+
+    return {
+        "episode_rewards": episode_rewards,
+        "mean_reward": np.mean(episode_rewards),
+        "std_reward": np.std(episode_rewards),
+    }
+
+
+# %%
+# Running the Experiment
+# ======================
+#
+# Now we'll run experiments to compare the performance of Q-learning agents with and without action masking.
+# We'll use multiple random seeds to ensure robust statistical comparison.
+#
+# The experiment setup:
+# - 12 independent runs with different random seeds
+# - 5000 episodes per run
+# - Standard Q-learning hyperparameters ``(α=0.1, γ=0.95, ε=0.1)``
+#
+
+
+# Experiment parameters
+n_runs = 12
+episodes = 5000
+learning_rate = 0.1
+discount_factor = 0.95
+epsilon = 0.1
+
+# Generate different seeds for each run
+seeds = [BASE_RANDOM_SEED + i for i in range(n_runs)]
+
+# Store results for comparison
+masked_results_list = []
+unmasked_results_list = []
+
+# Run experiments with different seeds
+for i, seed in enumerate(seeds):
+    print(f"Run {i + 1}/{n_runs} with seed {seed}")
+
+    # Train agent WITH action masking
+    env_masked = gym.make("Taxi-v3")
+    masked_results = train_q_learning(
+        env_masked,
+        use_action_mask=True,
+        seed=seed,
+        learning_rate=learning_rate,
+        discount_factor=discount_factor,
+        epsilon=epsilon,
+        episodes=episodes,
+    )
+    env_masked.close()
+    masked_results_list.append(masked_results)
+
+    # Train agent WITHOUT action masking
+    env_unmasked = gym.make("Taxi-v3")
+    unmasked_results = train_q_learning(
+        env_unmasked,
+        use_action_mask=False,
+        seed=seed,
+        learning_rate=learning_rate,
+        discount_factor=discount_factor,
+        epsilon=epsilon,
+        episodes=episodes,
+    )
+    env_unmasked.close()
+    unmasked_results_list.append(unmasked_results)
+
+
+# %%
+# Visualizing Results
+# ===================
+#
+# After running all experiments, we calculate statistics and create visualizations to compare the performance of both approaches.
+#
+
+# Calculate statistics across runs
+masked_mean_rewards = [r["mean_reward"] for r in masked_results_list]
+unmasked_mean_rewards = [r["mean_reward"] for r in unmasked_results_list]
+
+masked_overall_mean = np.mean(masked_mean_rewards)
+masked_overall_std = np.std(masked_mean_rewards)
+unmasked_overall_mean = np.mean(unmasked_mean_rewards)
+unmasked_overall_std = np.std(unmasked_mean_rewards)
+
+# Create visualization
+plt.figure(figsize=(12, 8), dpi=100)
+
+# Plot individual runs with low alpha
+for i, (masked_results, unmasked_results) in enumerate(
+    zip(masked_results_list, unmasked_results_list)
+):
+    plt.plot(
+        masked_results["episode_rewards"],
+        label="With Action Masking" if i == 0 else None,
+        color="blue",
+        alpha=0.1,
+    )
+    plt.plot(
+        unmasked_results["episode_rewards"],
+        label="Without Action Masking" if i == 0 else None,
+        color="red",
+        alpha=0.1,
+    )
+
+# Calculate and plot mean curves across all runs
+masked_mean_curve = np.mean([r["episode_rewards"] for r in masked_results_list], axis=0)
+unmasked_mean_curve = np.mean(
+    [r["episode_rewards"] for r in unmasked_results_list], axis=0
+)
+
+plt.plot(
+    masked_mean_curve, label="With Action Masking (Mean)", color="blue", linewidth=2
+)
+plt.plot(
+    unmasked_mean_curve,
+    label="Without Action Masking (Mean)",
+    color="red",
+    linewidth=2,
+)
+
+plt.xlabel("Episode")
+plt.ylabel("Total Reward")
+plt.title("Training Performance: Q-Learning with vs without Action Masking")
+plt.legend()
+plt.grid(True, alpha=0.3)
+
+# Save the figure
+savefig_folder = Path("_static/img/tutorials/")
+savefig_folder.mkdir(parents=True, exist_ok=True)
+plt.savefig(
+    savefig_folder / "taxi_v3_action_masking_comparison.png",
+    bbox_inches="tight",
+    dpi=150,
+)
+plt.show()
+
+
+# %%
+# .. image:: /_static/img/tutorials/taxi_v3_action_masking_comparison.png
+#
+# Results Analysis
+# ================
+#
+# The comparison demonstrates several important benefits of using action masking:
+#
+# Key Benefits of Action Masking:
+#
+# 1. Faster Convergence: Agents with action masking typically learn faster because they don't waste time exploring
+# invalid actions.
+#
+# 2. Better Performance: By focusing only on valid actions, the agent can achieve higher rewards more consistently.
+#
+# 3. More Stable Learning: Action masking reduces the variance in learning by eliminating the randomness associated with invalid action selection.
+#
+# 4. Practical Applicability: In real-world scenarios, action masking prevents agents from taking actions that could be dangerous or impossible.
+#
+# Reminder of Key Implementation Details
+#
+# - Action Selection: We filter available actions using ``np.nonzero(action_mask == 1)[0]`` to get only valid actions
+# - Q-Value Updates: When computing the maximum future Q-value, we only consider valid  actions in the next state
+# - Exploration: Random action selection is constrained to the set of valid actions
+#
+# This approach ensures that the agent never selects invalid actions while still maintaining the exploration-exploitation balance necessary for effective learning.
+#
diff --git a/_downloads/a5659940aa3f8f568547d47752a43172/tutorials_jupyter.zip b/_downloads/a5659940aa3f8f568547d47752a43172/tutorials_jupyter.zip
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diff --git a/_downloads/f568409c70f62ce68a7552285b9724db/action_masking_taxi.ipynb b/_downloads/f568409c70f62ce68a7552285b9724db/action_masking_taxi.ipynb
new file mode 100644
index 000000000..c78deb33c
--- /dev/null
+++ b/_downloads/f568409c70f62ce68a7552285b9724db/action_masking_taxi.ipynb
@@ -0,0 +1,86 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Action Masking in the Taxi Environment\n\nThis tutorial demonstrates how to use action masking in the Taxi environment to improve reinforcement learning performance by preventing invalid actions.\n\nThe Taxi environment is a classic grid world problem where a taxi needs to pick up a passenger and drop them off at their destination. In this environment, not all actions are valid at every state - for example, you can't drive through walls or pick up a passenger when you're not at their location.\n\nAction masking is a technique that helps reinforcement learning agents avoid selecting invalid actions by providing a binary mask that indicates which actions are valid in the current state. This can significantly improve learning efficiency and performance.\n\n## Understanding the Taxi Environment\n\nThe Taxi environment has 6 possible actions:\n\n- 0: Move south (down)\n- 1: Move north (up)\n- 2: Move east (right)\n- 3: Move west (left)\n- 4: Pickup passenger\n- 5: Drop off passenger\n\nThe environment provides an ``action_mask`` in the info dictionary returned by ``reset()`` and ``step()``.\nThis mask is a binary array where 1 indicates a valid action and 0 indicates an invalid action.\n\n## How Action Masking Works\n\nAction masking works by constraining the agent's action selection to only valid actions:\n\n1. During exploration: When selecting random actions, we only choose from the set of valid actions\n2. During exploitation: When selecting the best action based on Q-values, we only consider Q-values for valid actions\n3. During Q-learning updates: We compute the maximum future Q-value only over valid actions in the next state\n\nLet's implement this step by step:\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import random\nfrom pathlib import Path\n\nimport matplotlib.pyplot as plt\nimport numpy as np\n\nimport gymnasium as gym\n\n\n# Base random seed for reproducibility\nBASE_RANDOM_SEED = 58922320\n\n\ndef train_q_learning(\n    env,\n    use_action_mask: bool = True,\n    episodes: int = 5000,\n    seed: int = BASE_RANDOM_SEED,\n    learning_rate: float = 0.1,\n    discount_factor: float = 0.95,\n    epsilon: float = 0.1,\n) -> dict:\n    \"\"\"Train a Q-learning agent with or without action masking.\"\"\"\n    # Set random seeds for reproducibility\n    np.random.seed(seed)\n    random.seed(seed)\n\n    # Initialize Q-table\n    n_states = env.observation_space.n\n    n_actions = env.action_space.n\n    q_table = np.zeros((n_states, n_actions))\n\n    # Track episode rewards for analysis\n    episode_rewards = []\n\n    for episode in range(episodes):\n        # Reset environment\n        state, info = env.reset(seed=seed + episode)\n        total_reward = 0\n        done = False\n        truncated = False\n\n        while not (done or truncated):\n            # Get action mask if using it\n            action_mask = info[\"action_mask\"] if use_action_mask else None\n\n            # Epsilon-greedy action selection with masking\n            if np.random.random() < epsilon:\n                # Random action selection\n                if use_action_mask:\n                    # Only select from valid actions\n                    valid_actions = np.nonzero(action_mask == 1)[0]\n                    action = np.random.choice(valid_actions)\n                else:\n                    # Select from all actions\n                    action = np.random.randint(0, n_actions)\n            else:\n                # Greedy action selection\n                if use_action_mask:\n                    # Only consider valid actions for exploitation\n                    valid_actions = np.nonzero(action_mask == 1)[0]\n                    if len(valid_actions) > 0:\n                        action = valid_actions[np.argmax(q_table[state, valid_actions])]\n                    else:\n                        action = np.random.randint(0, n_actions)\n                else:\n                    # Consider all actions\n                    action = np.argmax(q_table[state])\n\n            # Take action and observe result\n            next_state, reward, done, truncated, info = env.step(action)\n            total_reward += reward\n\n            # Q-learning update\n            if not (done or truncated):\n                if use_action_mask:\n                    # Only consider valid next actions for bootstrapping\n                    next_mask = info[\"action_mask\"]\n                    valid_next_actions = np.nonzero(next_mask == 1)[0]\n                    if len(valid_next_actions) > 0:\n                        next_max = np.max(q_table[next_state, valid_next_actions])\n                    else:\n                        next_max = 0\n                else:\n                    # Consider all next actions\n                    next_max = np.max(q_table[next_state])\n\n                # Update Q-value\n                q_table[state, action] = q_table[state, action] + learning_rate * (\n                    reward + discount_factor * next_max - q_table[state, action]\n                )\n\n            state = next_state\n\n        episode_rewards.append(total_reward)\n\n    return {\n        \"episode_rewards\": episode_rewards,\n        \"mean_reward\": np.mean(episode_rewards),\n        \"std_reward\": np.std(episode_rewards),\n    }"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "# Running the Experiment\n\nNow we'll run experiments to compare the performance of Q-learning agents with and without action masking.\nWe'll use multiple random seeds to ensure robust statistical comparison.\n\nThe experiment setup:\n- 12 independent runs with different random seeds\n- 5000 episodes per run\n- Standard Q-learning hyperparameters ``(\u03b1=0.1, \u03b3=0.95, \u03b5=0.1)``\n\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "# Experiment parameters\nn_runs = 12\nepisodes = 5000\nlearning_rate = 0.1\ndiscount_factor = 0.95\nepsilon = 0.1\n\n# Generate different seeds for each run\nseeds = [BASE_RANDOM_SEED + i for i in range(n_runs)]\n\n# Store results for comparison\nmasked_results_list = []\nunmasked_results_list = []\n\n# Run experiments with different seeds\nfor i, seed in enumerate(seeds):\n    print(f\"Run {i + 1}/{n_runs} with seed {seed}\")\n\n    # Train agent WITH action masking\n    env_masked = gym.make(\"Taxi-v3\")\n    masked_results = train_q_learning(\n        env_masked,\n        use_action_mask=True,\n        seed=seed,\n        learning_rate=learning_rate,\n        discount_factor=discount_factor,\n        epsilon=epsilon,\n        episodes=episodes,\n    )\n    env_masked.close()\n    masked_results_list.append(masked_results)\n\n    # Train agent WITHOUT action masking\n    env_unmasked = gym.make(\"Taxi-v3\")\n    unmasked_results = train_q_learning(\n        env_unmasked,\n        use_action_mask=False,\n        seed=seed,\n        learning_rate=learning_rate,\n        discount_factor=discount_factor,\n        epsilon=epsilon,\n        episodes=episodes,\n    )\n    env_unmasked.close()\n    unmasked_results_list.append(unmasked_results)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "# Visualizing Results\n\nAfter running all experiments, we calculate statistics and create visualizations to compare the performance of both approaches.\n\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "# Calculate statistics across runs\nmasked_mean_rewards = [r[\"mean_reward\"] for r in masked_results_list]\nunmasked_mean_rewards = [r[\"mean_reward\"] for r in unmasked_results_list]\n\nmasked_overall_mean = np.mean(masked_mean_rewards)\nmasked_overall_std = np.std(masked_mean_rewards)\nunmasked_overall_mean = np.mean(unmasked_mean_rewards)\nunmasked_overall_std = np.std(unmasked_mean_rewards)\n\n# Create visualization\nplt.figure(figsize=(12, 8), dpi=100)\n\n# Plot individual runs with low alpha\nfor i, (masked_results, unmasked_results) in enumerate(\n    zip(masked_results_list, unmasked_results_list)\n):\n    plt.plot(\n        masked_results[\"episode_rewards\"],\n        label=\"With Action Masking\" if i == 0 else None,\n        color=\"blue\",\n        alpha=0.1,\n    )\n    plt.plot(\n        unmasked_results[\"episode_rewards\"],\n        label=\"Without Action Masking\" if i == 0 else None,\n        color=\"red\",\n        alpha=0.1,\n    )\n\n# Calculate and plot mean curves across all runs\nmasked_mean_curve = np.mean([r[\"episode_rewards\"] for r in masked_results_list], axis=0)\nunmasked_mean_curve = np.mean(\n    [r[\"episode_rewards\"] for r in unmasked_results_list], axis=0\n)\n\nplt.plot(\n    masked_mean_curve, label=\"With Action Masking (Mean)\", color=\"blue\", linewidth=2\n)\nplt.plot(\n    unmasked_mean_curve,\n    label=\"Without Action Masking (Mean)\",\n    color=\"red\",\n    linewidth=2,\n)\n\nplt.xlabel(\"Episode\")\nplt.ylabel(\"Total Reward\")\nplt.title(\"Training Performance: Q-Learning with vs without Action Masking\")\nplt.legend()\nplt.grid(True, alpha=0.3)\n\n# Save the figure\nsavefig_folder = Path(\"_static/img/tutorials/\")\nsavefig_folder.mkdir(parents=True, exist_ok=True)\nplt.savefig(\n    savefig_folder / \"taxi_v3_action_masking_comparison.png\",\n    bbox_inches=\"tight\",\n    dpi=150,\n)\nplt.show()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "<img src=\"file://_static/img/tutorials/taxi_v3_action_masking_comparison.png\">\n\n# Results Analysis\n\nThe comparison demonstrates several important benefits of using action masking:\n\nKey Benefits of Action Masking:\n\n1. Faster Convergence: Agents with action masking typically learn faster because they don't waste time exploring\ninvalid actions.\n\n2. Better Performance: By focusing only on valid actions, the agent can achieve higher rewards more consistently.\n\n3. More Stable Learning: Action masking reduces the variance in learning by eliminating the randomness associated with invalid action selection.\n\n4. Practical Applicability: In real-world scenarios, action masking prevents agents from taking actions that could be dangerous or impossible.\n\nReminder of Key Implementation Details\n\n- Action Selection: We filter available actions using ``np.nonzero(action_mask == 1)[0]`` to get only valid actions\n- Q-Value Updates: When computing the maximum future Q-value, we only consider valid  actions in the next state\n- Exploration: Random action selection is constrained to the set of valid actions\n\nThis approach ensures that the agent never selects invalid actions while still maintaining the exploration-exploitation balance necessary for effective learning.\n\n\n"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
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+}
\ No newline at end of file
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index cfae0a686..ba5eb483d 100644
--- a/_modules/gymnasium/core/index.html
+++ b/_modules/gymnasium/core/index.html
@@ -220,8 +220,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/_modules/gymnasium/envs/functional_jax_env/index.html b/_modules/gymnasium/envs/functional_jax_env/index.html
index 13615e0f9..aa085aaa7 100644
--- a/_modules/gymnasium/envs/functional_jax_env/index.html
+++ b/_modules/gymnasium/envs/functional_jax_env/index.html
@@ -220,8 +220,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -301,6 +300,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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diff --git a/_modules/gymnasium/spaces/dict/index.html b/_modules/gymnasium/spaces/dict/index.html
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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diff --git a/_modules/gymnasium/spaces/discrete/index.html b/_modules/gymnasium/spaces/discrete/index.html
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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diff --git a/_modules/gymnasium/spaces/multi_binary/index.html b/_modules/gymnasium/spaces/multi_binary/index.html
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-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/_modules/gymnasium/spaces/multi_discrete/index.html b/_modules/gymnasium/spaces/multi_discrete/index.html
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-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/_modules/gymnasium/utils/play/index.html b/_modules/gymnasium/utils/play/index.html
index 21635ab80..c96e8bf2e 100644
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-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/_modules/gymnasium/wrappers/atari_preprocessing/index.html b/_modules/gymnasium/wrappers/atari_preprocessing/index.html
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-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/_modules/gymnasium/wrappers/common/index.html b/_modules/gymnasium/wrappers/common/index.html
index 0e98ef857..1a5cf892d 100644
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-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/_modules/gymnasium/wrappers/jax_to_numpy/index.html b/_modules/gymnasium/wrappers/jax_to_numpy/index.html
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-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/_modules/gymnasium/wrappers/jax_to_torch/index.html b/_modules/gymnasium/wrappers/jax_to_torch/index.html
index 7499e5ca0..eeaec9dd9 100644
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-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/_modules/gymnasium/wrappers/numpy_to_torch/index.html b/_modules/gymnasium/wrappers/numpy_to_torch/index.html
index 5bf1bb89e..bee3193c9 100644
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-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/_modules/gymnasium/wrappers/rendering/index.html b/_modules/gymnasium/wrappers/rendering/index.html
index 1d0a3c261..2475fee4a 100644
--- a/_modules/gymnasium/wrappers/rendering/index.html
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-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/_modules/gymnasium/wrappers/stateful_action/index.html b/_modules/gymnasium/wrappers/stateful_action/index.html
index 9d249a953..693ae5506 100644
--- a/_modules/gymnasium/wrappers/stateful_action/index.html
+++ b/_modules/gymnasium/wrappers/stateful_action/index.html
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-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -301,6 +300,10 @@
 </ul>
 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/_modules/gymnasium/wrappers/stateful_observation/index.html b/_modules/gymnasium/wrappers/stateful_observation/index.html
index da21ccfbf..ea1ecd68f 100644
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-<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
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 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/_modules/gymnasium/wrappers/stateful_reward/index.html b/_modules/gymnasium/wrappers/stateful_reward/index.html
index 148e7b177..a2d82b96b 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../introduction/record_agent/">Recording Agents</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
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diff --git a/api/registry/index.html b/api/registry/index.html
index c5fc962ee..37837db89 100644
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-<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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index 009534277..160d39fc5 100644
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
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diff --git a/api/vector/wrappers/index.html b/api/vector/wrappers/index.html
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
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diff --git a/api/wrappers/index.html b/api/wrappers/index.html
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-<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <p class="caption" role="heading"><span class="caption-text">API</span></p>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/api/wrappers/table/index.html b/api/wrappers/table/index.html
index a59562a32..d818f9fd4 100644
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
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index 3b70ab839..e2cc37b06 100644
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
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index 7aa359b0f..4914079d0 100644
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/atari/alien/index.html b/environments/atari/alien/index.html
index d7d321e3b..ef9f8e9a5 100644
--- a/environments/atari/alien/index.html
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/amidar/index.html b/environments/atari/amidar/index.html
index 47592a61d..d25cce46d 100644
--- a/environments/atari/amidar/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
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 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/assault/index.html b/environments/atari/assault/index.html
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--- a/environments/atari/assault/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/atari/asterix/index.html b/environments/atari/asterix/index.html
index 3e6794206..4799019ea 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/asteroids/index.html b/environments/atari/asteroids/index.html
index 5df3c97d1..0b31429ba 100644
--- a/environments/atari/asteroids/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
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 </ul>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/atlantis/index.html b/environments/atari/atlantis/index.html
index 775343ff7..72deeb5cb 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/atlantis2/index.html b/environments/atari/atlantis2/index.html
index e46c77924..df6e74d61 100644
--- a/environments/atari/atlantis2/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/atari/backgammon/index.html b/environments/atari/backgammon/index.html
index 43e54e627..b7ce96072 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
@@ -302,6 +301,10 @@
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 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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index cdbde6518..e067373b8 100644
--- a/environments/atari/bank_heist/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/basic_math/index.html b/environments/atari/basic_math/index.html
index c3ac07ae1..a19e87ab7 100644
--- a/environments/atari/basic_math/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/battle_zone/index.html b/environments/atari/battle_zone/index.html
index 29d58a4ac..9ccf77a22 100644
--- a/environments/atari/battle_zone/index.html
+++ b/environments/atari/battle_zone/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/beam_rider/index.html b/environments/atari/beam_rider/index.html
index c038bb9cb..e0e44ce9b 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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index 4ea54c2bf..49d7e7f5c 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/blackjack/index.html b/environments/atari/blackjack/index.html
index c7058c796..1b2e96a01 100644
--- a/environments/atari/blackjack/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/bowling/index.html b/environments/atari/bowling/index.html
index df05d955e..04f8be89f 100644
--- a/environments/atari/bowling/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/boxing/index.html b/environments/atari/boxing/index.html
index bffe482be..0750a18e7 100644
--- a/environments/atari/boxing/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
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 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/breakout/index.html b/environments/atari/breakout/index.html
index 139e50b3e..03362a7e0 100644
--- a/environments/atari/breakout/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
@@ -302,6 +301,10 @@
 </ul>
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 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/carnival/index.html b/environments/atari/carnival/index.html
index bdd4c210e..34d686dc1 100644
--- a/environments/atari/carnival/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/casino/index.html b/environments/atari/casino/index.html
index 075f10aba..5ae0d4dff 100644
--- a/environments/atari/casino/index.html
+++ b/environments/atari/casino/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/centipede/index.html b/environments/atari/centipede/index.html
index 85d812c8e..a4748c3de 100644
--- a/environments/atari/centipede/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/chopper_command/index.html b/environments/atari/chopper_command/index.html
index 1895da728..af5fb56a9 100644
--- a/environments/atari/chopper_command/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/crazy_climber/index.html b/environments/atari/crazy_climber/index.html
index e01ebf086..8ec72cd05 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/crossbow/index.html b/environments/atari/crossbow/index.html
index de8eaa073..6781d2394 100644
--- a/environments/atari/crossbow/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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index c864f114f..e0ef61afb 100644
--- a/environments/atari/darkchambers/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/atari/defender/index.html b/environments/atari/defender/index.html
index 4198d9aab..3ebb973df 100644
--- a/environments/atari/defender/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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index 553f3ce0c..94b10af9d 100644
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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index 0abb4bce0..781692c2f 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/double_dunk/index.html b/environments/atari/double_dunk/index.html
index 3f964d09a..b4e61618c 100644
--- a/environments/atari/double_dunk/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
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 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/earthworld/index.html b/environments/atari/earthworld/index.html
index 9a679e198..f3310f1c7 100644
--- a/environments/atari/earthworld/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/elevator_action/index.html b/environments/atari/elevator_action/index.html
index 61fd86b12..95823f432 100644
--- a/environments/atari/elevator_action/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/enduro/index.html b/environments/atari/enduro/index.html
index 0a3ef3976..6ffb1b084 100644
--- a/environments/atari/enduro/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
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 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/entombed/index.html b/environments/atari/entombed/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
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index 6b6a757ed..c0a460d15 100644
--- a/environments/atari/et/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
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 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/fishing_derby/index.html b/environments/atari/fishing_derby/index.html
index 026e6b7be..7f44e409b 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
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 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/flag_capture/index.html b/environments/atari/flag_capture/index.html
index d07b51eb0..b42dc3e1a 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/freeway/index.html b/environments/atari/freeway/index.html
index 5e9a2f8aa..79524ea76 100644
--- a/environments/atari/freeway/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/frogger/index.html b/environments/atari/frogger/index.html
index 57b7880a3..2a63aea2a 100644
--- a/environments/atari/frogger/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/frostbite/index.html b/environments/atari/frostbite/index.html
index d573598cc..6c9852603 100644
--- a/environments/atari/frostbite/index.html
+++ b/environments/atari/frostbite/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/galaxian/index.html b/environments/atari/galaxian/index.html
index 85901ef5d..fef2e747a 100644
--- a/environments/atari/galaxian/index.html
+++ b/environments/atari/galaxian/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/gopher/index.html b/environments/atari/gopher/index.html
index c92469ff1..ea19bb011 100644
--- a/environments/atari/gopher/index.html
+++ b/environments/atari/gopher/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
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index e8a29aedf..f31a2e5d5 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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index e20e55807..cd0a3fc58 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <p class="caption" role="heading"><span class="caption-text">API</span></p>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/atari/hero/index.html b/environments/atari/hero/index.html
index 5dbd0a970..f76712a53 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
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 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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index 450541e06..39a469883 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
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 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/ice_hockey/index.html b/environments/atari/ice_hockey/index.html
index c9918e67b..7f759a338 100644
--- a/environments/atari/ice_hockey/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
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 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/index.html b/environments/atari/index.html
index b56ff1767..de1941570 100644
--- a/environments/atari/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
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 <li class="toctree-l1 has-children"><a class="reference internal" href="../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/jamesbond/index.html b/environments/atari/jamesbond/index.html
index 2e0da12d3..323460cdf 100644
--- a/environments/atari/jamesbond/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
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 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
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 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/kaboom/index.html b/environments/atari/kaboom/index.html
index 7f3116c53..abdfd10b7 100644
--- a/environments/atari/kaboom/index.html
+++ b/environments/atari/kaboom/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/kangaroo/index.html b/environments/atari/kangaroo/index.html
index b4df7c3ac..bafe6ac5a 100644
--- a/environments/atari/kangaroo/index.html
+++ b/environments/atari/kangaroo/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/keystone_kapers/index.html b/environments/atari/keystone_kapers/index.html
index 7e91b5ea2..6a5284b5f 100644
--- a/environments/atari/keystone_kapers/index.html
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@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/king_kong/index.html b/environments/atari/king_kong/index.html
index 6b5533a4f..ad0221d09 100644
--- a/environments/atari/king_kong/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/klax/index.html b/environments/atari/klax/index.html
index e7d4e1b23..333df1419 100644
--- a/environments/atari/klax/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/koolaid/index.html b/environments/atari/koolaid/index.html
index fb692fc6d..724b22344 100644
--- a/environments/atari/koolaid/index.html
+++ b/environments/atari/koolaid/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/krull/index.html b/environments/atari/krull/index.html
index 9db0e5028..80c911805 100644
--- a/environments/atari/krull/index.html
+++ b/environments/atari/krull/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/kung_fu_master/index.html b/environments/atari/kung_fu_master/index.html
index d77d16c40..752287809 100644
--- a/environments/atari/kung_fu_master/index.html
+++ b/environments/atari/kung_fu_master/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/laser_gates/index.html b/environments/atari/laser_gates/index.html
index 8ba1d9366..0e83e189e 100644
--- a/environments/atari/laser_gates/index.html
+++ b/environments/atari/laser_gates/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/mario_bros/index.html b/environments/atari/mario_bros/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/atari/miniature_golf/index.html b/environments/atari/miniature_golf/index.html
index c443b6b33..bd8c3dffe 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/montezuma_revenge/index.html b/environments/atari/montezuma_revenge/index.html
index 20a1b6637..591fac344 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/atari/mr_do/index.html b/environments/atari/mr_do/index.html
index 9ac5cc5af..bb39f6435 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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@@ -302,6 +301,10 @@
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/atari/ms_pacman/index.html b/environments/atari/ms_pacman/index.html
index d262ae3fc..11717039f 100644
--- a/environments/atari/ms_pacman/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/atari/name_this_game/index.html b/environments/atari/name_this_game/index.html
index d209f95f7..c2415d049 100644
--- a/environments/atari/name_this_game/index.html
+++ b/environments/atari/name_this_game/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
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 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/othello/index.html b/environments/atari/othello/index.html
index 7ec54ee73..2560dd528 100644
--- a/environments/atari/othello/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/pacman/index.html b/environments/atari/pacman/index.html
index c3fa8ec24..45aa68068 100644
--- a/environments/atari/pacman/index.html
+++ b/environments/atari/pacman/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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index b6a7a171c..0c7ee3b8f 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/pitfall/index.html b/environments/atari/pitfall/index.html
index b59e106c2..e1c04ae38 100644
--- a/environments/atari/pitfall/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/pitfall2/index.html b/environments/atari/pitfall2/index.html
index 105feb023..0dd522ab5 100644
--- a/environments/atari/pitfall2/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/pong/index.html b/environments/atari/pong/index.html
index b34666769..7d7be2d68 100644
--- a/environments/atari/pong/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
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 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/pooyan/index.html b/environments/atari/pooyan/index.html
index c8c905dec..c1f7ee2f4 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
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 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/atari/private_eye/index.html b/environments/atari/private_eye/index.html
index b3962b69f..d43b3d33e 100644
--- a/environments/atari/private_eye/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/qbert/index.html b/environments/atari/qbert/index.html
index 5204892b2..69c4282ee 100644
--- a/environments/atari/qbert/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/riverraid/index.html b/environments/atari/riverraid/index.html
index f79903943..e7732c88b 100644
--- a/environments/atari/riverraid/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/road_runner/index.html b/environments/atari/road_runner/index.html
index e41e2c077..872ff6565 100644
--- a/environments/atari/road_runner/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/robotank/index.html b/environments/atari/robotank/index.html
index c0400da7f..4e9af68f2 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/seaquest/index.html b/environments/atari/seaquest/index.html
index d8a884a3c..35115463f 100644
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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index 4c48edad1..6cec65836 100644
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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index 5cb30a5fd..58760a713 100644
--- a/environments/atari/space_war/index.html
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
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 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
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index 0174f1213..d9efb76d6 100644
--- a/environments/atari/superman/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/surround/index.html b/environments/atari/surround/index.html
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--- a/environments/atari/surround/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 </ul>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/atari/trondead/index.html b/environments/atari/trondead/index.html
index e18a4c145..f1bece95f 100644
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 </ul>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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index 65fa84e34..5b438dba7 100644
--- a/environments/atari/turmoil/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/atari/tutankham/index.html b/environments/atari/tutankham/index.html
index c0b40d0d8..12a9497ff 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/up_n_down/index.html b/environments/atari/up_n_down/index.html
index 398063940..bf261c762 100644
--- a/environments/atari/up_n_down/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
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index d4f04ebbf..df635d06f 100644
--- a/environments/atari/venture/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
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 </ul>
 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/video_checkers/index.html b/environments/atari/video_checkers/index.html
index 7fe087335..559f402ce 100644
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+++ b/environments/atari/video_checkers/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/video_chess/index.html b/environments/atari/video_chess/index.html
index cb69531d9..7e422eed4 100644
--- a/environments/atari/video_chess/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/video_cube/index.html b/environments/atari/video_cube/index.html
index efb1894e6..324cc0610 100644
--- a/environments/atari/video_cube/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/video_pinball/index.html b/environments/atari/video_pinball/index.html
index b146180ca..d3099669d 100644
--- a/environments/atari/video_pinball/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
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 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/atari/wizard_of_wor/index.html b/environments/atari/wizard_of_wor/index.html
index fc8462a13..c4ef66253 100644
--- a/environments/atari/wizard_of_wor/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/atari/word_zapper/index.html b/environments/atari/word_zapper/index.html
index c5a8aea83..7930fda84 100644
--- a/environments/atari/word_zapper/index.html
+++ b/environments/atari/word_zapper/index.html
@@ -221,8 +221,7 @@
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/yars_revenge/index.html b/environments/atari/yars_revenge/index.html
index 6efbe312a..cbc27ead3 100644
--- a/environments/atari/yars_revenge/index.html
+++ b/environments/atari/yars_revenge/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/atari/zaxxon/index.html b/environments/atari/zaxxon/index.html
index fee6eadad..dce22a824 100644
--- a/environments/atari/zaxxon/index.html
+++ b/environments/atari/zaxxon/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/box2d/bipedal_walker/index.html b/environments/box2d/bipedal_walker/index.html
index 274eb2f17..f63c747d4 100644
--- a/environments/box2d/bipedal_walker/index.html
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@@ -221,8 +221,7 @@
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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index 9b1c71564..91ddaa19e 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/box2d/index.html b/environments/box2d/index.html
index e32bf6eaf..44bac9679 100644
--- a/environments/box2d/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../introduction/create_custom_env/">Create a Custom Environment</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
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+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/box2d/lunar_lander/index.html b/environments/box2d/lunar_lander/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/classic_control/acrobot/index.html b/environments/classic_control/acrobot/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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index e4a5f89cd..427a5630c 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
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 <ul>
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 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/classic_control/index.html b/environments/classic_control/index.html
index 30b3b40a0..2b8eb65b5 100644
--- a/environments/classic_control/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/classic_control/mountain_car/index.html b/environments/classic_control/mountain_car/index.html
index e75ba4429..e16e18ac1 100644
--- a/environments/classic_control/mountain_car/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/classic_control/mountain_car_continuous/index.html b/environments/classic_control/mountain_car_continuous/index.html
index 21fe11c61..1a265f2ce 100644
--- a/environments/classic_control/mountain_car_continuous/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/classic_control/pendulum/index.html b/environments/classic_control/pendulum/index.html
index 21fc5d131..cb2714841 100644
--- a/environments/classic_control/pendulum/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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index 974ed2987..f71b42916 100644
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/mujoco/humanoid_standup/index.html b/environments/mujoco/humanoid_standup/index.html
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/mujoco/index.html b/environments/mujoco/index.html
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--- a/environments/mujoco/index.html
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-<li class="toctree-l1"><a class="reference internal" href="../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/mujoco/inverted_double_pendulum/index.html b/environments/mujoco/inverted_double_pendulum/index.html
index 93482450c..7e4c09c6c 100644
--- a/environments/mujoco/inverted_double_pendulum/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
@@ -302,6 +301,10 @@
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 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/mujoco/inverted_pendulum/index.html b/environments/mujoco/inverted_pendulum/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
@@ -302,6 +301,10 @@
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 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <ul>
@@ -302,6 +301,10 @@
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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index bef5948e3..0c2744a58 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/mujoco/walker2d/index.html b/environments/mujoco/walker2d/index.html
index 7a86169ad..527abd812 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/third_party_environments/index.html b/environments/third_party_environments/index.html
index 5d45e1f99..490ddaee0 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/toy_text/blackjack/index.html b/environments/toy_text/blackjack/index.html
index 97f40eeb9..364fcb854 100644
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/toy_text/cliff_walking/index.html b/environments/toy_text/cliff_walking/index.html
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--- a/environments/toy_text/cliff_walking/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
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 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/toy_text/cliff_walking_slippery/index.html b/environments/toy_text/cliff_walking_slippery/index.html
index d128c15df..514a7258f 100644
--- a/environments/toy_text/cliff_walking_slippery/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/toy_text/frozen_lake/index.html b/environments/toy_text/frozen_lake/index.html
index 6f1383e84..b69c085ef 100644
--- a/environments/toy_text/frozen_lake/index.html
+++ b/environments/toy_text/frozen_lake/index.html
@@ -221,8 +221,7 @@
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 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
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diff --git a/environments/toy_text/index.html b/environments/toy_text/index.html
index 0cf74cb53..b877ead08 100644
--- a/environments/toy_text/index.html
+++ b/environments/toy_text/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/environments/toy_text/taxi/index.html b/environments/toy_text/taxi/index.html
index 9ba04fa93..0de4a47b1 100644
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+++ b/environments/toy_text/taxi/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/genindex/index.html b/genindex/index.html
index b65d76770..d34e61f06 100644
--- a/genindex/index.html
+++ b/genindex/index.html
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 <li class="toctree-l1"><a class="reference internal" href="../introduction/create_custom_env/">Create a Custom Environment</a></li>
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 <li class="toctree-l1"><a class="reference internal" href="../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../introduction/migration_guide/">Gym Migration Guide</a></li>
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 <p class="caption" role="heading"><span class="caption-text">API</span></p>
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@@ -300,6 +299,10 @@
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+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/gym_release_notes/index.html b/gym_release_notes/index.html
index 696e488de..299960747 100644
--- a/gym_release_notes/index.html
+++ b/gym_release_notes/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
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+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/gymnasium_release_notes/index.html b/gymnasium_release_notes/index.html
index a117ea693..3676b688f 100644
--- a/gymnasium_release_notes/index.html
+++ b/gymnasium_release_notes/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
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+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/index.html b/index.html
index f5954670a..0ffd92e98 100644
--- a/index.html
+++ b/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
@@ -385,7 +388,7 @@ An API standard for reinforcement learning with a diverse collection of referenc
 <a class="reference internal image-reference" href="_images/lunar_lander.gif"><img alt="Lunar Lander" src="_images/lunar_lander.gif" style="width: 500px;" />
 </a>
 </figure>
-<p><strong>Gymnasium is a maintained fork of OpenAI’s Gym library.</strong> The Gymnasium interface is simple, pythonic, and capable of representing general RL problems, and has a <a class="reference internal" href="introduction/gym_compatibility/"><span class="doc std std-doc">compatibility wrapper</span></a> for old Gym environments:</p>
+<p><strong>Gymnasium is a maintained fork of OpenAI’s Gym library.</strong> The Gymnasium interface is simple, pythonic, and capable of representing general RL problems, and has a <a class="reference internal" href="introduction/migration_guide/"><span class="doc std std-doc">migration guide</span></a> for old Gym environments:</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">gymnasium</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">gym</span>
 
 <span class="c1"># Initialise the environment</span>
diff --git a/introduction/basic_usage/index.html b/introduction/basic_usage/index.html
index 6adeeccbc..034b2a481 100644
--- a/introduction/basic_usage/index.html
+++ b/introduction/basic_usage/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/introduction/create_custom_env/index.html b/introduction/create_custom_env/index.html
index 7f81c4e97..d665a1738 100644
--- a/introduction/create_custom_env/index.html
+++ b/introduction/create_custom_env/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/introduction/gym_compatibility/index.html b/introduction/gym_compatibility/index.html
deleted file mode 100644
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-            
-            <section class="tex2jax_ignore mathjax_ignore" id="compatibility-with-gym">
-<h1>Compatibility with Gym<a class="headerlink" href="#compatibility-with-gym" title="Link to this heading">¶</a></h1>
-<p>Gymnasium provides a number of compatibility methods for using older Gym Environment implementations.</p>
-<section id="loading-openai-gym-environments">
-<h2>Loading OpenAI Gym environments<a class="headerlink" href="#loading-openai-gym-environments" title="Link to this heading">¶</a></h2>
-<p>For environments that are registered solely in OpenAI Gym and not in Gymnasium, Gymnasium v0.26.3 and above allows importing them through either a special environment or a wrapper. The <code class="docutils literal notranslate"><span class="pre">&quot;GymV26Environment-v0&quot;</span></code> environment was introduced in Gymnasium v0.26.3, and allows importing of Gym environments through the <code class="docutils literal notranslate"><span class="pre">env_name</span></code> argument along with other relevant kwargs environment kwargs. To perform conversion through a wrapper, the environment itself can be passed to the wrapper <code class="xref py py-class docutils literal notranslate"><span class="pre">EnvCompatibility</span></code> through the <code class="docutils literal notranslate"><span class="pre">env</span></code> kwarg.</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">gymnasium</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">gym</span>
-
-<span class="n">env</span> <span class="o">=</span> <span class="n">gym</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">&quot;GymV26Environment-v0&quot;</span><span class="p">,</span> <span class="n">env_id</span><span class="o">=</span><span class="s2">&quot;GymEnv-v1&quot;</span><span class="p">)</span>
-</pre></div>
-</div>
-</section>
-<section id="gym-v0-21-environment-compatibility">
-<h2>Gym v0.21 Environment Compatibility<a class="headerlink" href="#gym-v0-21-environment-compatibility" title="Link to this heading">¶</a></h2>
-<p>A number of environments have not updated to the recent Gym changes, in particular since v0.21. This update is significant for the introduction of <code class="docutils literal notranslate"><span class="pre">termination</span></code> and <code class="docutils literal notranslate"><span class="pre">truncation</span></code> signatures in favour of the previously used <code class="docutils literal notranslate"><span class="pre">done</span></code>. To allow backward compatibility, Gym and Gymnasium v0.26+ include an <code class="docutils literal notranslate"><span class="pre">apply_api_compatibility</span></code> kwarg when calling <a class="reference internal" href="../../api/registry/#gymnasium.make" title="gymnasium.make"><code class="xref py py-meth docutils literal notranslate"><span class="pre">make()</span></code></a> that automatically converts a v0.21 API compliant environment to one that is compatible with v0.26+.</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">gym</span>
-
-<span class="n">env</span> <span class="o">=</span> <span class="n">gym</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">&quot;OldV21Env-v0&quot;</span><span class="p">,</span> <span class="n">apply_api_compatibility</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>Additionally, in Gymnasium we provide specialist environments for compatibility that for <code class="docutils literal notranslate"><span class="pre">env_id</span></code> will call <code class="docutils literal notranslate"><span class="pre">gym.make</span></code>.</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">gymnasium</span>
-
-<span class="n">env</span> <span class="o">=</span> <span class="n">gymnasium</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">&quot;GymV21Environment-v0&quot;</span><span class="p">,</span> <span class="n">env_id</span><span class="o">=</span><span class="s2">&quot;CartPole-v1&quot;</span><span class="p">,</span> <span class="n">render_mode</span><span class="o">=</span><span class="s2">&quot;human&quot;</span><span class="p">)</span>
-<span class="c1"># or</span>
-<span class="n">env</span> <span class="o">=</span> <span class="n">gymnasium</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">&quot;GymV21Environment-v0&quot;</span><span class="p">,</span> <span class="n">env</span><span class="o">=</span><span class="n">OldV21Env</span><span class="p">())</span>
-
-</pre></div>
-</div>
-</section>
-<section id="step-api-compatibility">
-<h2>Step API Compatibility<a class="headerlink" href="#step-api-compatibility" title="Link to this heading">¶</a></h2>
-<p>If environments implement the (old) done step API, Gymnasium provides both functions (<a class="reference internal" href="../../api/utils/#gymnasium.utils.step_api_compatibility.convert_to_terminated_truncated_step_api" title="gymnasium.utils.step_api_compatibility.convert_to_terminated_truncated_step_api"><code class="xref py py-meth docutils literal notranslate"><span class="pre">gymnasium.utils.step_api_compatibility.convert_to_terminated_truncated_step_api()</span></code></a>) and wrappers (<code class="xref py py-class docutils literal notranslate"><span class="pre">gymnasium.wrappers.StepAPICompatibility</span></code>) that will convert an environment with the old step API (using <code class="docutils literal notranslate"><span class="pre">done</span></code>) to the new step API (using <code class="docutils literal notranslate"><span class="pre">termination</span></code> and <code class="docutils literal notranslate"><span class="pre">truncation</span></code>).</p>
-</section>
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-<li><a class="reference internal" href="#">Compatibility with Gym</a><ul>
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-<li><a class="reference internal" href="#gym-v0-21-environment-compatibility">Gym v0.21 Environment Compatibility</a></li>
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diff --git a/introduction/migration_guide/index.html b/introduction/migration_guide/index.html
index 6e88f3a60..4a9b06e41 100644
--- a/introduction/migration_guide/index.html
+++ b/introduction/migration_guide/index.html
@@ -8,11 +8,11 @@
     <meta property="og:type" content="website" />
     <meta property="og:description" content="A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)" />
     <meta property="og:url" content="https://gymnasium.farama.org/introduction/migration_guide.html" /><meta property="og:image" content="https://gymnasium.farama.org/_static/img/gymnasium-github.png" /><meta name="twitter:card" content="summary_large_image"><meta name="viewport" content="width=device-width, initial-scale=1" />
-<link rel="index" title="Index" href="../../genindex/" /><link rel="search" title="Search" href="../../search/" /><link rel="next" title="Env" href="../../api/env/" /><link rel="prev" title="Compatibility with Gym" href="../gym_compatibility/" />
+<link rel="index" title="Index" href="../../genindex/" /><link rel="search" title="Search" href="../../search/" /><link rel="next" title="Env" href="../../api/env/" /><link rel="prev" title="Speeding Up Training" href="../speed_up_env/" />
         <link rel="canonical" href="https://gymnasium.farama.org/introduction/migration_guide.html" />
 
     <link rel="shortcut icon" href="../../_static/favicon.png"/><!-- Generated with Sphinx 7.4.7 and Furo 2023.08.19.dev1 -->
-        <title>Migration Guide - v0.21 to v1.0.0 - Gymnasium Documentation</title>
+        <title>Gym Migration Guide - Gymnasium Documentation</title>
       <link rel="stylesheet" type="text/css" href="../../_static/pygments.css?v=8f2a1f02" />
     <link rel="stylesheet" type="text/css" href="../../_static/styles/furo.css?v=3e7f4c72" />
     <link rel="stylesheet" type="text/css" href="../../_static/sg_gallery.css?v=61a4c737" />
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
@@ -373,8 +376,8 @@
           </div>
           <article role="main">
             
-            <section class="tex2jax_ignore mathjax_ignore" id="migration-guide-v0-21-to-v1-0-0">
-<h1>Migration Guide - v0.21 to v1.0.0<a class="headerlink" href="#migration-guide-v0-21-to-v1-0-0" title="Link to this heading">¶</a></h1>
+            <section class="tex2jax_ignore mathjax_ignore" id="gym-migration-guide">
+<h1>Gym Migration Guide<a class="headerlink" href="#gym-migration-guide" title="Link to this heading">¶</a></h1>
 <section id="who-should-read-this-guide">
 <h2>Who Should Read This Guide?<a class="headerlink" href="#who-should-read-this-guide" title="Link to this heading">¶</a></h2>
 <p><strong>If you’re new to Gymnasium</strong>: You can probably skip this page! This guide is for users migrating from older versions of OpenAI Gym. If you’re just starting with RL, head to <a class="reference internal" href="../basic_usage/"><span class="doc std std-doc">Basic Usage</span></a> instead.</p>
@@ -384,12 +387,14 @@
 <section id="why-did-the-api-change">
 <h2>Why Did the API Change?<a class="headerlink" href="#why-did-the-api-change" title="Link to this heading">¶</a></h2>
 <p>Gymnasium is a fork of <a class="reference external" href="https://github.com/openai/gym/releases/tag/0.26.2">OpenAI Gym v0.26</a>, which introduced breaking changes from <a class="reference external" href="https://github.com/openai/gym/releases/tag/v0.21.0">Gym v0.21</a>. These changes weren’t made lightly - they solved important problems that made RL research and development more difficult.</p>
-<p>The main issues with the old API were:
-- <strong>Ambiguous episode endings</strong>: The single <code class="docutils literal notranslate"><span class="pre">done</span></code> flag couldn’t distinguish between “task completed” and “time limit reached”
-- <strong>Inconsistent seeding</strong>: Random number generation was unreliable and hard to reproduce
-- <strong>Rendering complexity</strong>: Switching between visual modes was unnecessarily complicated
-- <strong>Reproducibility problems</strong>: Subtle bugs made it difficult to reproduce research results</p>
-<p>For environments still using the v0.21 API, see the <a class="reference external" href="gym_compatibility">compatibility guide</a>.</p>
+<p>The main issues with the old API were:</p>
+<ul class="simple">
+<li><p><strong>Ambiguous episode endings</strong>: The single <code class="docutils literal notranslate"><span class="pre">done</span></code> flag couldn’t distinguish between “task completed” and “time limit reached”</p></li>
+<li><p><strong>Inconsistent seeding</strong>: Random number generation was unreliable and hard to reproduce</p></li>
+<li><p><strong>Rendering complexity</strong>: Switching between visual modes was unnecessarily complicated</p></li>
+<li><p><strong>Reproducibility problems</strong>: Subtle bugs made it difficult to reproduce research results</p></li>
+</ul>
+<p>For environments that can’t be updated, see the compatibility guide section below.</p>
 </section>
 <section id="quick-reference-complete-changes-table">
 <h2>Quick Reference: Complete Changes Table<a class="headerlink" href="#quick-reference-complete-changes-table" title="Link to this heading">¶</a></h2>
@@ -500,8 +505,7 @@
 <p><strong>Old</strong>: <code class="docutils literal notranslate"><span class="pre">import</span> <span class="pre">gym</span></code>
 <strong>New</strong>: <code class="docutils literal notranslate"><span class="pre">import</span> <span class="pre">gymnasium</span> <span class="pre">as</span> <span class="pre">gym</span></code></p>
 <p>Why: Gymnasium is a separate project that maintains and improves upon the original Gym codebase.</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># Update your imports</span>
-<span class="c1"># OLD</span>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># OLD</span>
 <span class="kn">import</span><span class="w"> </span><span class="nn">gym</span>
 
 <span class="c1"># NEW</span>
@@ -666,69 +670,6 @@ pass</p>
 </pre></div>
 </div>
 <p>This makes time limit detection much cleaner and more explicit.</p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>
-## Updating Your Training Code
-
-### Basic Training Loop Migration
-
-**Old v0.21 pattern**:
-```python
-for episode in range(num_episodes):
-    obs = env.reset()
-    done = False
-
-    while not done:
-        action = agent.get_action(obs)
-        next_obs, reward, done, info = env.step(action)
-
-        # Train agent (this may have bugs due to ambiguous &#39;done&#39;)
-        agent.learn(obs, action, reward, next_obs, done)
-        obs = next_obs
-</pre></div>
-</div>
-<p><strong>New v0.26+ pattern</strong>:</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">for</span> <span class="n">episode</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">num_episodes</span><span class="p">):</span>
-    <span class="n">obs</span><span class="p">,</span> <span class="n">info</span> <span class="o">=</span> <span class="n">env</span><span class="o">.</span><span class="n">reset</span><span class="p">(</span><span class="n">seed</span><span class="o">=</span><span class="n">episode</span><span class="p">)</span>  <span class="c1"># Optional: unique seed per episode</span>
-    <span class="n">terminated</span><span class="p">,</span> <span class="n">truncated</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="kc">False</span>
-
-    <span class="k">while</span> <span class="ow">not</span> <span class="p">(</span><span class="n">terminated</span> <span class="ow">or</span> <span class="n">truncated</span><span class="p">):</span>
-        <span class="n">action</span> <span class="o">=</span> <span class="n">agent</span><span class="o">.</span><span class="n">get_action</span><span class="p">(</span><span class="n">obs</span><span class="p">)</span>
-        <span class="n">next_obs</span><span class="p">,</span> <span class="n">reward</span><span class="p">,</span> <span class="n">terminated</span><span class="p">,</span> <span class="n">truncated</span><span class="p">,</span> <span class="n">info</span> <span class="o">=</span> <span class="n">env</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">action</span><span class="p">)</span>
-
-        <span class="c1"># Train agent with proper termination handling</span>
-        <span class="n">agent</span><span class="o">.</span><span class="n">learn</span><span class="p">(</span><span class="n">obs</span><span class="p">,</span> <span class="n">action</span><span class="p">,</span> <span class="n">reward</span><span class="p">,</span> <span class="n">next_obs</span><span class="p">,</span> <span class="n">terminated</span><span class="p">)</span>
-        <span class="n">obs</span> <span class="o">=</span> <span class="n">next_obs</span>
-</pre></div>
-</div>
-<section id="q-learning-update-migration">
-<h3>Q-Learning Update Migration<a class="headerlink" href="#q-learning-update-migration" title="Link to this heading">¶</a></h3>
-<p><strong>Old v0.21 (potentially incorrect)</strong>:</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span><span class="w"> </span><span class="nf">update_q_value</span><span class="p">(</span><span class="n">obs</span><span class="p">,</span> <span class="n">action</span><span class="p">,</span> <span class="n">reward</span><span class="p">,</span> <span class="n">next_obs</span><span class="p">,</span> <span class="n">done</span><span class="p">):</span>
-    <span class="k">if</span> <span class="n">done</span><span class="p">:</span>
-        <span class="n">target</span> <span class="o">=</span> <span class="n">reward</span>  <span class="c1"># Assumes all episode endings are natural terminations</span>
-    <span class="k">else</span><span class="p">:</span>
-        <span class="n">target</span> <span class="o">=</span> <span class="n">reward</span> <span class="o">+</span> <span class="n">gamma</span> <span class="o">*</span> <span class="nb">max</span><span class="p">(</span><span class="n">q_table</span><span class="p">[</span><span class="n">next_obs</span><span class="p">])</span>
-
-    <span class="n">q_table</span><span class="p">[</span><span class="n">obs</span><span class="p">][</span><span class="n">action</span><span class="p">]</span> <span class="o">+=</span> <span class="n">lr</span> <span class="o">*</span> <span class="p">(</span><span class="n">target</span> <span class="o">-</span> <span class="n">q_table</span><span class="p">[</span><span class="n">obs</span><span class="p">][</span><span class="n">action</span><span class="p">])</span>
-</pre></div>
-</div>
-<p><strong>New v0.26+ (correct)</strong>:</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span><span class="w"> </span><span class="nf">update_q_value</span><span class="p">(</span><span class="n">obs</span><span class="p">,</span> <span class="n">action</span><span class="p">,</span> <span class="n">reward</span><span class="p">,</span> <span class="n">next_obs</span><span class="p">,</span> <span class="n">terminated</span><span class="p">):</span>
-    <span class="k">if</span> <span class="n">terminated</span><span class="p">:</span>
-        <span class="c1"># Natural termination - no future value</span>
-        <span class="n">target</span> <span class="o">=</span> <span class="n">reward</span>
-    <span class="k">else</span><span class="p">:</span>
-        <span class="c1"># Episode continues - truncation has no impact on the possible future value</span>
-        <span class="n">target</span> <span class="o">=</span> <span class="n">reward</span> <span class="o">+</span> <span class="n">gamma</span> <span class="o">*</span> <span class="nb">max</span><span class="p">(</span><span class="n">q_table</span><span class="p">[</span><span class="n">next_obs</span><span class="p">])</span>
-
-    <span class="n">q_table</span><span class="p">[</span><span class="n">obs</span><span class="p">][</span><span class="n">action</span><span class="p">]</span> <span class="o">+=</span> <span class="n">lr</span> <span class="o">*</span> <span class="p">(</span><span class="n">target</span> <span class="o">-</span> <span class="n">q_table</span><span class="p">[</span><span class="n">obs</span><span class="p">][</span><span class="n">action</span><span class="p">])</span>
-</pre></div>
-</div>
-</section>
-<section id="deep-rl-framework-migration">
-<h3>Deep RL Framework Migration<a class="headerlink" href="#deep-rl-framework-migration" title="Link to this heading">¶</a></h3>
-<p>Most libraries have already updated, see their documentation for more information.</p>
-</section>
 </section>
 <section id="environment-specific-changes">
 <h2>Environment-Specific Changes<a class="headerlink" href="#environment-specific-changes" title="Link to this heading">¶</a></h2>
@@ -755,14 +696,30 @@ for episode in range(num_episodes):
 </section>
 <section id="compatibility-helpers">
 <h2>Compatibility Helpers<a class="headerlink" href="#compatibility-helpers" title="Link to this heading">¶</a></h2>
-<section id="using-old-environments">
-<h3>Using Old Environments<a class="headerlink" href="#using-old-environments" title="Link to this heading">¶</a></h3>
-<p>If you need to use an environment that hasn’t been updated to the new API:</p>
-<p><a href="#id1"><span class="problematic" id="id2">``</span></a><a href="#id3"><span class="problematic" id="id4">`</span></a>python
-# For environments still using old gym
-env = gym.make(“GymV21Environment-v0”, env_id=”OldEnv-v0”)</p>
-<p># This wrapper converts old API to new API automatically</p>
-<p>For more details, see the <code class="docutils literal notranslate"><span class="pre">compatibility</span> <span class="pre">guide</span> <span class="pre">&lt;gym_compatibility&gt;</span></code>_.</p>
+<section id="loading-openai-gym-environments">
+<h3>Loading OpenAI Gym environments<a class="headerlink" href="#loading-openai-gym-environments" title="Link to this heading">¶</a></h3>
+<p>For environments that can’t be updated to Gymnasium, we provide compatibility wrappers either for v21 and v26 style environments, where either the environment name or the environment itself can be passed.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">gymnasium</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">shimmy</span>  <span class="c1"># install shimmy with `pip install shimmy`</span>
+
+<span class="n">gymnasium</span><span class="o">.</span><span class="n">register_envs</span><span class="p">(</span><span class="n">shimmy</span><span class="p">)</span>
+
+
+<span class="c1"># Gym v0.21 style environments</span>
+<span class="n">env</span> <span class="o">=</span> <span class="n">gymnasium</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">&quot;GymV21Environment-v0&quot;</span><span class="p">,</span> <span class="n">env_id</span><span class="o">=</span><span class="s2">&quot;CartPole-v1&quot;</span><span class="p">)</span>
+<span class="c1"># or</span>
+<span class="n">env</span> <span class="o">=</span> <span class="n">gymnasium</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">&quot;GymV21Environment-v0&quot;</span><span class="p">,</span> <span class="n">env</span><span class="o">=</span><span class="n">OldV21Env</span><span class="p">())</span>
+
+<span class="c1"># Gym v0.26 style environments</span>
+<span class="n">env</span> <span class="o">=</span> <span class="n">gymnasium</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">&quot;GymV26Environment-v0&quot;</span><span class="p">,</span> <span class="n">env_id</span><span class="o">=</span><span class="s2">&quot;Cartpole-v1&quot;</span><span class="p">)</span>
+<span class="c1"># or</span>
+<span class="n">env</span> <span class="o">=</span> <span class="n">gymnasium</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">&quot;GymV26Environment-v0&quot;</span><span class="p">,</span> <span class="n">env</span><span class="o">=</span><span class="n">OldV26Env</span><span class="p">())</span>
+</pre></div>
+</div>
+</section>
+<section id="step-api-compatibility">
+<h3>Step API Compatibility<a class="headerlink" href="#step-api-compatibility" title="Link to this heading">¶</a></h3>
+<p>If environments implement the (old) done step API, Gymnasium provides functions (<a class="reference internal" href="../../api/utils/#gymnasium.utils.step_api_compatibility.convert_to_terminated_truncated_step_api" title="gymnasium.utils.step_api_compatibility.convert_to_terminated_truncated_step_api"><code class="xref py py-meth docutils literal notranslate"><span class="pre">convert_to_terminated_truncated_step_api()</span></code></a> and <a class="reference internal" href="../../api/utils/#gymnasium.utils.step_api_compatibility.convert_to_done_step_api" title="gymnasium.utils.step_api_compatibility.convert_to_done_step_api"><code class="xref py py-meth docutils literal notranslate"><span class="pre">convert_to_done_step_api()</span></code></a>) that will convert an environment with the old step API (using <code class="docutils literal notranslate"><span class="pre">done</span></code>) to the new step API (using <code class="docutils literal notranslate"><span class="pre">termination</span></code> and <code class="docutils literal notranslate"><span class="pre">truncation</span></code>), and vice versa.</p>
 </section>
 </section>
 <section id="testing-your-migration">
@@ -776,7 +733,7 @@ env = gym.make(“GymV21Environment-v0”, env_id=”OldEnv-v0”)</p>
 <li><p>[ ] <strong>Random seeding</strong> uses the <code class="docutils literal notranslate"><span class="pre">seed</span></code> parameter in <code class="docutils literal notranslate"><span class="pre">reset()</span></code></p></li>
 <li><p>[ ] <strong>Training algorithms</strong> properly distinguish termination types</p></li>
 </ul>
-<p>Use the <code class="docutils literal notranslate"><span class="pre">from</span> <span class="pre">gymnasium.utils.env_checker</span> <span class="pre">import</span> <span class="pre">check_env</span></code> to verify their implementation.</p>
+<p>Use the <a class="reference internal" href="../../api/utils/#gymnasium.utils.env_checker.check_env" title="gymnasium.utils.env_checker.check_env"><code class="xref py py-meth docutils literal notranslate"><span class="pre">check_env()</span></code></a> to verify their implementation.</p>
 </section>
 <section id="getting-help">
 <h2>Getting Help<a class="headerlink" href="#getting-help" title="Link to this heading">¶</a></h2>
@@ -789,7 +746,7 @@ env = gym.make(“GymV21Environment-v0”, env_id=”OldEnv-v0”)</p>
 </ol>
 <p><strong>Common resources</strong>:</p>
 <ul class="simple">
-<li><p><a class="reference external" href="https://gymnasium.farama.org/">Gymnasium documentation</a></p></li>
+<li><p><a class="reference external" href="https://gymnasium.farama.org/api/env">Gymnasium API documentation</a></p></li>
 <li><p><a class="reference external" href="https://github.com/Farama-Foundation/Gymnasium/issues">GitHub issues</a> for bug reports</p></li>
 <li><p><a class="reference external" href="https://discord.gg/bnJ6kubTg6">Discord community</a> for questions</p></li>
 </ul>
@@ -812,7 +769,7 @@ env = gym.make(“GymV21Environment-v0”, env_id=”OldEnv-v0”)</p>
                 <use href="#svg-arrow-right"></use>
               </svg>
             </a>
-            <a class="prev-page" href="../gym_compatibility/">
+            <a class="prev-page" href="../speed_up_env/">
               <svg class="furo-related-icon">
                 <use href="#svg-arrow-right"></use>
               </svg>
@@ -821,7 +778,7 @@ env = gym.make(“GymV21Environment-v0”, env_id=”OldEnv-v0”)</p>
                   <span>Previous</span>
                 </div>
                 
-                <div class="title">Compatibility with Gym</div>
+                <div class="title">Speeding Up Training</div>
                 
               </div>
             </a>
@@ -865,7 +822,7 @@ env = gym.make(“GymV21Environment-v0”, env_id=”OldEnv-v0”)</p>
           <div class="toc-tree-container">
             <div class="toc-tree">
               <ul>
-<li><a class="reference internal" href="#">Migration Guide - v0.21 to v1.0.0</a><ul>
+<li><a class="reference internal" href="#">Gym Migration Guide</a><ul>
 <li><a class="reference internal" href="#who-should-read-this-guide">Who Should Read This Guide?</a></li>
 <li><a class="reference internal" href="#why-did-the-api-change">Why Did the API Change?</a></li>
 <li><a class="reference internal" href="#quick-reference-complete-changes-table">Quick Reference: Complete Changes Table</a></li>
@@ -882,17 +839,14 @@ env = gym.make(“GymV21Environment-v0”, env_id=”OldEnv-v0”)</p>
 <li><a class="reference internal" href="#render-mode-changes">5. Render Mode Changes</a></li>
 </ul>
 </li>
-<li><a class="reference internal" href="#timelimit-wrapper-changes">TimeLimit Wrapper Changes</a><ul>
-<li><a class="reference internal" href="#q-learning-update-migration">Q-Learning Update Migration</a></li>
-<li><a class="reference internal" href="#deep-rl-framework-migration">Deep RL Framework Migration</a></li>
-</ul>
-</li>
+<li><a class="reference internal" href="#timelimit-wrapper-changes">TimeLimit Wrapper Changes</a></li>
 <li><a class="reference internal" href="#environment-specific-changes">Environment-Specific Changes</a><ul>
 <li><a class="reference internal" href="#removed-environments">Removed Environments</a></li>
 </ul>
 </li>
 <li><a class="reference internal" href="#compatibility-helpers">Compatibility Helpers</a><ul>
-<li><a class="reference internal" href="#using-old-environments">Using Old Environments</a></li>
+<li><a class="reference internal" href="#loading-openai-gym-environments">Loading OpenAI Gym environments</a></li>
+<li><a class="reference internal" href="#step-api-compatibility">Step API Compatibility</a></li>
 </ul>
 </li>
 <li><a class="reference internal" href="#testing-your-migration">Testing Your Migration</a></li>
diff --git a/introduction/record_agent/index.html b/introduction/record_agent/index.html
index 49a723d98..41fde82c4 100644
--- a/introduction/record_agent/index.html
+++ b/introduction/record_agent/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/introduction/speed_up_env/index.html b/introduction/speed_up_env/index.html
index feded1c2f..36dfe7208 100644
--- a/introduction/speed_up_env/index.html
+++ b/introduction/speed_up_env/index.html
@@ -8,7 +8,7 @@
     <meta property="og:type" content="website" />
     <meta property="og:description" content="A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)" />
     <meta property="og:url" content="https://gymnasium.farama.org/introduction/speed_up_env.html" /><meta property="og:image" content="https://gymnasium.farama.org/_static/img/gymnasium-github.png" /><meta name="twitter:card" content="summary_large_image"><meta name="viewport" content="width=device-width, initial-scale=1" />
-<link rel="index" title="Index" href="../../genindex/" /><link rel="search" title="Search" href="../../search/" /><link rel="next" title="Compatibility with Gym" href="../gym_compatibility/" /><link rel="prev" title="Recording Agents" href="../record_agent/" />
+<link rel="index" title="Index" href="../../genindex/" /><link rel="search" title="Search" href="../../search/" /><link rel="next" title="Gym Migration Guide" href="../migration_guide/" /><link rel="prev" title="Recording Agents" href="../record_agent/" />
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@@ -221,8 +221,7 @@
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 <li class="toctree-l1"><a class="reference internal" href="../record_agent/">Recording Agents</a></li>
 <li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
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 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
@@ -400,12 +403,12 @@ As the field is consistently improving, we refer readers to find to survey paper
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diff --git a/introduction/train_agent/index.html b/introduction/train_agent/index.html
index accaf3121..cf873df17 100644
--- a/introduction/train_agent/index.html
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@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../record_agent/">Recording Agents</a></li>
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-<li class="toctree-l1"><a class="reference internal" href="../gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
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@@ -302,6 +301,10 @@
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+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
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diff --git a/py-modindex/index.html b/py-modindex/index.html
index 70f70563b..f12dbd4e9 100644
--- a/py-modindex/index.html
+++ b/py-modindex/index.html
@@ -219,8 +219,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -300,6 +299,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/search/index.html b/search/index.html
index 3ddbebd2e..b5c21f75b 100644
--- a/search/index.html
+++ b/search/index.html
@@ -218,8 +218,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -299,6 +298,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../tutorials/training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../tutorials/training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/searchindex.js b/searchindex.js
index 494b0bba8..366354c04 100644
--- a/searchindex.js
+++ b/searchindex.js
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"gridworld": 159, "guid": 160, "gunner": 106, "gym": [148, 155, 160], "gymnasium": [1, 10, 148, 156, 158, 164, 165, 167, 168, 170, 171], "half": 138, "handl": [159, 166], "hangman": 65, "haunt": 66, "heist": 32, "help": 160, "helper": 160, "hero": 67, "heurist": 162, "histori": [127, 128, 129, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 150, 151, 152, 153, 154], "hockei": 69, "hopper": 139, "hous": 66, "how": 173, "human": 68, "humanoid": [140, 141], "i": 158, "ic": 69, "implement": [2, 14, 18, 19, 167], "import": [166, 174], "improv": 163, "includ": 160, "inform": [150, 151, 152, 153, 154, 161], "inherit": 167, "initi": [156, 158, 165], "instanc": 165, "instruct": 1, "integr": 161, "interpret": 163, "introduct": 178, "intuit": 163, "invad": 104, "invert": [142, 143], "issu": [158, 159, 163], "jamesbond": 70, "jax": 3, "johnni": 171, "journei": 71, "kaboom": 72, "kangaroo": 73, "kaper": 74, "kei": [159, 160], "keyston": 74, "king": 75, "klax": 76, 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"remov": 160, "render": [9, 136, 159, 160, 165], "represent": 159, "reproduc": 136, "request": 0, "research": 159, "reset": [128, 159, 160, 165], "result": [163, 173], "reveng": [84, 124], "reward": [14, 19, 127, 128, 129, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 150, 151, 152, 153, 154, 159, 169], "rewardwrapp": 167, "rider": 35, "riverraid": 97, "rl": 158, "road": 98, "robot": [148, 169], "robotank": 99, "run": [173, 175], "runner": 98, "runtim": 9, "save": [9, 178], "seaquest": 100, "seed": [9, 160], "setup": [165, 169, 174, 178], "share": 13, "should": 160, "showcas": 178, "side": 160, "simpl": 159, "simul": 169, "sir": 101, "size": 175, "ski": 102, "slipperi": 152, "slow": 163, "solari": 103, "solut": [163, 165, 166], "solv": [174, 175], "space": [5, 6, 7, 8, 13, 104, 105, 127, 128, 129, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 150, 151, 152, 153, 154, 158, 159], "specif": 160, "speed": [162, 178], "split": 160, "standard": 3, "standup": 141, "star": 106, "start": [127, 128, 129, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 150, 151, 152, 153, 154, 159], "state": [127, 128, 129, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 150, 151, 152, 153, 154, 159, 165], "step": [1, 9, 158, 159, 160, 163, 165, 169], "strategi": 163, "stuck": 163, "subclass": 165, "summari": 161, "superman": 107, "surround": 108, "swimmer": 146, "synchron": 178, "syncvectorenv": 12, "system": 148, "tabl": [160, 175], "tabular": [174, 175], "tac": 111, "taxi": [154, 173], "telecommun": 148, "tenni": 109, "termin": [127, 128, 129, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 160, 166, 169], "test": [159, 160, 163], "tetri": 110, "text": 149, "thi": [87, 160], "think": [159, 174], "third": [148, 171], "tic": 111, "time": [112, 166, 175], "timelimit": 160, "tip": 159, "toe": 111, "toi": 149, "too": 163, "track": 161, "train": [136, 161, 162, 163, 169, 170, 172, 174, 176, 177, 178], "transit": [133, 134], "trondead": 113, "truncat": [135, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 160, 166], "try": 178, "turmoil": 114, "tutankham": 115, "tutori": [1, 170, 171], "tweak": 169, "uncommon": 17, "understand": [158, 161, 163, 173], "unstabl": 163, "up": [116, 162, 178], "updat": 163, "us": [148, 159, 165, 171, 175, 177, 178], "usag": 158, "util": [5, 8, 9, 13], "v": 163, "v0": [155, 156, 160], "v1": [156, 160], "valid": 159, "variabl": 4, "vector": [5, 10, 13, 14, 20, 132, 162, 178], "vectorenv": 10, "ventur": 117, "version": [127, 128, 129, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 150, 151, 152, 153, 154], "video": [9, 118, 119, 120, 121, 148], "visual": [9, 173, 174, 175], "visualis": 174, "walk": [151, 152], "walker": 127, "walker2d": 147, "war": 105, "we": 175, "weight": 178, "what": [158, 163], "when": 161, "who": 160, "why": [158, 160, 161], "wizard": 122, "wor": 122, "word": 123, "work": 173, "world": 159, "wrapper": [14, 15, 16, 17, 18, 19, 20, 159, 160, 165, 167], "write": 1, "yar": 124, "you": [159, 174], "your": [158, 159, 160, 161, 163, 165, 169], "yourself": 178, "youtub": 171, "zapper": 123, "zaxxon": 125, "zone": 34}})
\ No newline at end of file
diff --git a/tutorials/gymnasium_basics/README/index.html b/tutorials/gymnasium_basics/README/index.html
index 8e8593e47..33004e68c 100644
--- a/tutorials/gymnasium_basics/README/index.html
+++ b/tutorials/gymnasium_basics/README/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/tutorials/gymnasium_basics/environment_creation/index.html b/tutorials/gymnasium_basics/environment_creation/index.html
index ef57d49be..cdbb0dfc0 100644
--- a/tutorials/gymnasium_basics/environment_creation/index.html
+++ b/tutorials/gymnasium_basics/environment_creation/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
@@ -376,7 +379,7 @@
             
             <div class="sphx-glr-example-title admonition note">
 <p class="admonition-title">Note</p>
-<p>This example is compatible with Gymnasium version 1.2.0.</p>
+<p>This tutorial is compatible with Gymnasium version 1.2.0.</p>
 </div>
 <section id="make-your-own-custom-environment">
 <span id="sphx-glr-tutorials-gymnasium-basics-environment-creation-py"></span><h1>Make your own custom environment<a class="headerlink" href="#make-your-own-custom-environment" title="Link to this heading">¶</a></h1>
diff --git a/tutorials/gymnasium_basics/handling_time_limits/index.html b/tutorials/gymnasium_basics/handling_time_limits/index.html
index 140670189..28475de37 100644
--- a/tutorials/gymnasium_basics/handling_time_limits/index.html
+++ b/tutorials/gymnasium_basics/handling_time_limits/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
@@ -376,7 +379,7 @@
             
             <div class="sphx-glr-example-title admonition note">
 <p class="admonition-title">Note</p>
-<p>This example is compatible with Gymnasium version 1.2.0.</p>
+<p>This tutorial is compatible with Gymnasium version 1.2.0.</p>
 </div>
 <section id="handling-time-limits">
 <span id="sphx-glr-tutorials-gymnasium-basics-handling-time-limits-py"></span><h1>Handling Time Limits<a class="headerlink" href="#handling-time-limits" title="Link to this heading">¶</a></h1>
diff --git a/tutorials/gymnasium_basics/implementing_custom_wrappers/index.html b/tutorials/gymnasium_basics/implementing_custom_wrappers/index.html
index 1a85adf16..9f24e043e 100644
--- a/tutorials/gymnasium_basics/implementing_custom_wrappers/index.html
+++ b/tutorials/gymnasium_basics/implementing_custom_wrappers/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
@@ -376,7 +379,7 @@
             
             <div class="sphx-glr-example-title admonition note">
 <p class="admonition-title">Note</p>
-<p>This example is compatible with Gymnasium version 1.2.0.</p>
+<p>This tutorial is compatible with Gymnasium version 1.2.0.</p>
 </div>
 <section id="implementing-custom-wrappers">
 <span id="sphx-glr-tutorials-gymnasium-basics-implementing-custom-wrappers-py"></span><h1>Implementing Custom Wrappers<a class="headerlink" href="#implementing-custom-wrappers" title="Link to this heading">¶</a></h1>
diff --git a/tutorials/gymnasium_basics/index.html b/tutorials/gymnasium_basics/index.html
index 7740bcb7a..7be3599ed 100644
--- a/tutorials/gymnasium_basics/index.html
+++ b/tutorials/gymnasium_basics/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/tutorials/gymnasium_basics/load_quadruped_model/index.html b/tutorials/gymnasium_basics/load_quadruped_model/index.html
index bc9902b40..e75dfb334 100644
--- a/tutorials/gymnasium_basics/load_quadruped_model/index.html
+++ b/tutorials/gymnasium_basics/load_quadruped_model/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../../training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../../training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
@@ -376,7 +379,7 @@
             
             <div class="sphx-glr-example-title admonition note">
 <p class="admonition-title">Note</p>
-<p>This example is compatible with Gymnasium version 1.2.0.</p>
+<p>This tutorial is compatible with Gymnasium version 1.2.0.</p>
 </div>
 <section id="load-custom-quadruped-robot-environments">
 <span id="sphx-glr-tutorials-gymnasium-basics-load-quadruped-model-py"></span><h1>Load custom quadruped robot environments<a class="headerlink" href="#load-custom-quadruped-robot-environments" title="Link to this heading">¶</a></h1>
diff --git a/tutorials/index.html b/tutorials/index.html
index 25bcf5a71..d63fd0865 100644
--- a/tutorials/index.html
+++ b/tutorials/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
@@ -380,7 +383,10 @@
 <section id="training-agents">
 <h1>Training Agents<a class="headerlink" href="#training-agents" title="Link to this heading">¶</a></h1>
 <p>The most common application of Gymnasium is for training RL agents. Therefore, these tutorials aim to show a range of example implementations for different environments.</p>
-<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="This tutorial trains an agent for BlackJack using tabular Q-learning."><img alt="" src="../_images/sphx_glr_blackjack_q_learning_thumb.png" />
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="This tutorial demonstrates how to use action masking in the Taxi environment to improve reinfor..."><img alt="" src="../_images/sphx_glr_action_masking_taxi_thumb.png" />
+<p><a class="reference internal" href="training_agents/action_masking_taxi/#sphx-glr-tutorials-training-agents-action-masking-taxi-py"><span class="std std-ref">Action Masking in the Taxi Environment</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Action Masking in the Taxi Environment</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="This tutorial trains an agent for BlackJack using tabular Q-learning."><img alt="" src="../_images/sphx_glr_blackjack_q_learning_thumb.png" />
 <p><a class="reference internal" href="training_agents/blackjack_q_learning/#sphx-glr-tutorials-training-agents-blackjack-q-learning-py"><span class="std std-ref">Solving Blackjack with Tabular Q-Learning</span></a></p>
   <div class="sphx-glr-thumbnail-title">Solving Blackjack with Tabular Q-Learning</div>
 </div><div class="sphx-glr-thumbcontainer" tooltip="This tutorial trains an agent for FrozenLake using tabular Q-learning."><img alt="" src="../_images/sphx_glr_frozenlake_q_learning_thumb.png" />
diff --git a/tutorials/third-party-tutorials/index.html b/tutorials/third-party-tutorials/index.html
index 6c1eff590..71b9ec9a2 100644
--- a/tutorials/third-party-tutorials/index.html
+++ b/tutorials/third-party-tutorials/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../training_agents/">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../training_agents/action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../training_agents/action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../training_agents/action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../training_agents/action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../training_agents/blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../training_agents/frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../training_agents/mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/tutorials/training_agents/README/index.html b/tutorials/training_agents/README/index.html
index d393bb307..fcaccb509 100644
--- a/tutorials/training_agents/README/index.html
+++ b/tutorials/training_agents/README/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="../">Training Agents</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
diff --git a/tutorials/training_agents/action_masking_taxi/index.html b/tutorials/training_agents/action_masking_taxi/index.html
new file mode 100644
index 000000000..ddaf00b70
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+++ b/tutorials/training_agents/action_masking_taxi/index.html
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+<li class="toctree-l2"><a class="reference internal" href="../../gymnasium_basics/load_quadruped_model/">Load custom quadruped robot environments</a></li>
+</ul>
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+<li class="toctree-l1 current has-children"><a class="reference internal" href="../">Training Agents</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Action Masking in the Taxi Environment</a></li>
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+            
+            <div class="sphx-glr-example-title admonition note">
+<p class="admonition-title">Note</p>
+<p>This tutorial is compatible with Gymnasium version 1.2.0.</p>
+</div>
+<section id="action-masking-in-the-taxi-environment">
+<span id="sphx-glr-tutorials-training-agents-action-masking-taxi-py"></span><h1>Action Masking in the Taxi Environment<a class="headerlink" href="#action-masking-in-the-taxi-environment" title="Link to this heading">¶</a></h1>
+<p>This tutorial demonstrates how to use action masking in the Taxi environment to improve reinforcement learning performance by preventing invalid actions.</p>
+<p>The Taxi environment is a classic grid world problem where a taxi needs to pick up a passenger and drop them off at their destination. In this environment, not all actions are valid at every state - for example, you can’t drive through walls or pick up a passenger when you’re not at their location.</p>
+<p>Action masking is a technique that helps reinforcement learning agents avoid selecting invalid actions by providing a binary mask that indicates which actions are valid in the current state. This can significantly improve learning efficiency and performance.</p>
+<section id="understanding-the-taxi-environment">
+<h2>Understanding the Taxi Environment<a class="headerlink" href="#understanding-the-taxi-environment" title="Link to this heading">¶</a></h2>
+<p>The Taxi environment has 6 possible actions:</p>
+<ul class="simple">
+<li><p>0: Move south (down)</p></li>
+<li><p>1: Move north (up)</p></li>
+<li><p>2: Move east (right)</p></li>
+<li><p>3: Move west (left)</p></li>
+<li><p>4: Pickup passenger</p></li>
+<li><p>5: Drop off passenger</p></li>
+</ul>
+<p>The environment provides an <code class="docutils literal notranslate"><span class="pre">action_mask</span></code> in the info dictionary returned by <code class="docutils literal notranslate"><span class="pre">reset()</span></code> and <code class="docutils literal notranslate"><span class="pre">step()</span></code>.
+This mask is a binary array where 1 indicates a valid action and 0 indicates an invalid action.</p>
+</section>
+<section id="how-action-masking-works">
+<h2>How Action Masking Works<a class="headerlink" href="#how-action-masking-works" title="Link to this heading">¶</a></h2>
+<p>Action masking works by constraining the agent’s action selection to only valid actions:</p>
+<ol class="arabic simple">
+<li><p>During exploration: When selecting random actions, we only choose from the set of valid actions</p></li>
+<li><p>During exploitation: When selecting the best action based on Q-values, we only consider Q-values for valid actions</p></li>
+<li><p>During Q-learning updates: We compute the maximum future Q-value only over valid actions in the next state</p></li>
+</ol>
+<p>Let’s implement this step by step:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">random</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">pathlib</span><span class="w"> </span><span class="kn">import</span> <span class="n">Path</span>
+
+<span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+
+<span class="kn">import</span><span class="w"> </span><span class="nn">gymnasium</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">gym</span>
+
+
+<span class="c1"># Base random seed for reproducibility</span>
+<span class="n">BASE_RANDOM_SEED</span> <span class="o">=</span> <span class="mi">58922320</span>
+
+
+<span class="k">def</span><span class="w"> </span><span class="nf">train_q_learning</span><span class="p">(</span>
+    <span class="n">env</span><span class="p">,</span>
+    <span class="n">use_action_mask</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="n">episodes</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">5000</span><span class="p">,</span>
+    <span class="n">seed</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="n">BASE_RANDOM_SEED</span><span class="p">,</span>
+    <span class="n">learning_rate</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.1</span><span class="p">,</span>
+    <span class="n">discount_factor</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.95</span><span class="p">,</span>
+    <span class="n">epsilon</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.1</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">dict</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Train a Q-learning agent with or without action masking.&quot;&quot;&quot;</span>
+    <span class="c1"># Set random seeds for reproducibility</span>
+    <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="n">seed</span><span class="p">)</span>
+    <span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="n">seed</span><span class="p">)</span>
+
+    <span class="c1"># Initialize Q-table</span>
+    <span class="n">n_states</span> <span class="o">=</span> <span class="n">env</span><span class="o">.</span><span class="n">observation_space</span><span class="o">.</span><span class="n">n</span>
+    <span class="n">n_actions</span> <span class="o">=</span> <span class="n">env</span><span class="o">.</span><span class="n">action_space</span><span class="o">.</span><span class="n">n</span>
+    <span class="n">q_table</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="n">n_states</span><span class="p">,</span> <span class="n">n_actions</span><span class="p">))</span>
+
+    <span class="c1"># Track episode rewards for analysis</span>
+    <span class="n">episode_rewards</span> <span class="o">=</span> <span class="p">[]</span>
+
+    <span class="k">for</span> <span class="n">episode</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">episodes</span><span class="p">):</span>
+        <span class="c1"># Reset environment</span>
+        <span class="n">state</span><span class="p">,</span> <span class="n">info</span> <span class="o">=</span> <span class="n">env</span><span class="o">.</span><span class="n">reset</span><span class="p">(</span><span class="n">seed</span><span class="o">=</span><span class="n">seed</span> <span class="o">+</span> <span class="n">episode</span><span class="p">)</span>
+        <span class="n">total_reward</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="n">done</span> <span class="o">=</span> <span class="kc">False</span>
+        <span class="n">truncated</span> <span class="o">=</span> <span class="kc">False</span>
+
+        <span class="k">while</span> <span class="ow">not</span> <span class="p">(</span><span class="n">done</span> <span class="ow">or</span> <span class="n">truncated</span><span class="p">):</span>
+            <span class="c1"># Get action mask if using it</span>
+            <span class="n">action_mask</span> <span class="o">=</span> <span class="n">info</span><span class="p">[</span><span class="s2">&quot;action_mask&quot;</span><span class="p">]</span> <span class="k">if</span> <span class="n">use_action_mask</span> <span class="k">else</span> <span class="kc">None</span>
+
+            <span class="c1"># Epsilon-greedy action selection with masking</span>
+            <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">()</span> <span class="o">&lt;</span> <span class="n">epsilon</span><span class="p">:</span>
+                <span class="c1"># Random action selection</span>
+                <span class="k">if</span> <span class="n">use_action_mask</span><span class="p">:</span>
+                    <span class="c1"># Only select from valid actions</span>
+                    <span class="n">valid_actions</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nonzero</span><span class="p">(</span><span class="n">action_mask</span> <span class="o">==</span> <span class="mi">1</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+                    <span class="n">action</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">choice</span><span class="p">(</span><span class="n">valid_actions</span><span class="p">)</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="c1"># Select from all actions</span>
+                    <span class="n">action</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">n_actions</span><span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="c1"># Greedy action selection</span>
+                <span class="k">if</span> <span class="n">use_action_mask</span><span class="p">:</span>
+                    <span class="c1"># Only consider valid actions for exploitation</span>
+                    <span class="n">valid_actions</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nonzero</span><span class="p">(</span><span class="n">action_mask</span> <span class="o">==</span> <span class="mi">1</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+                    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">valid_actions</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+                        <span class="n">action</span> <span class="o">=</span> <span class="n">valid_actions</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">q_table</span><span class="p">[</span><span class="n">state</span><span class="p">,</span> <span class="n">valid_actions</span><span class="p">])]</span>
+                    <span class="k">else</span><span class="p">:</span>
+                        <span class="n">action</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">n_actions</span><span class="p">)</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="c1"># Consider all actions</span>
+                    <span class="n">action</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">q_table</span><span class="p">[</span><span class="n">state</span><span class="p">])</span>
+
+            <span class="c1"># Take action and observe result</span>
+            <span class="n">next_state</span><span class="p">,</span> <span class="n">reward</span><span class="p">,</span> <span class="n">done</span><span class="p">,</span> <span class="n">truncated</span><span class="p">,</span> <span class="n">info</span> <span class="o">=</span> <span class="n">env</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">action</span><span class="p">)</span>
+            <span class="n">total_reward</span> <span class="o">+=</span> <span class="n">reward</span>
+
+            <span class="c1"># Q-learning update</span>
+            <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="n">done</span> <span class="ow">or</span> <span class="n">truncated</span><span class="p">):</span>
+                <span class="k">if</span> <span class="n">use_action_mask</span><span class="p">:</span>
+                    <span class="c1"># Only consider valid next actions for bootstrapping</span>
+                    <span class="n">next_mask</span> <span class="o">=</span> <span class="n">info</span><span class="p">[</span><span class="s2">&quot;action_mask&quot;</span><span class="p">]</span>
+                    <span class="n">valid_next_actions</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nonzero</span><span class="p">(</span><span class="n">next_mask</span> <span class="o">==</span> <span class="mi">1</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+                    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">valid_next_actions</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+                        <span class="n">next_max</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">q_table</span><span class="p">[</span><span class="n">next_state</span><span class="p">,</span> <span class="n">valid_next_actions</span><span class="p">])</span>
+                    <span class="k">else</span><span class="p">:</span>
+                        <span class="n">next_max</span> <span class="o">=</span> <span class="mi">0</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="c1"># Consider all next actions</span>
+                    <span class="n">next_max</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">q_table</span><span class="p">[</span><span class="n">next_state</span><span class="p">])</span>
+
+                <span class="c1"># Update Q-value</span>
+                <span class="n">q_table</span><span class="p">[</span><span class="n">state</span><span class="p">,</span> <span class="n">action</span><span class="p">]</span> <span class="o">=</span> <span class="n">q_table</span><span class="p">[</span><span class="n">state</span><span class="p">,</span> <span class="n">action</span><span class="p">]</span> <span class="o">+</span> <span class="n">learning_rate</span> <span class="o">*</span> <span class="p">(</span>
+                    <span class="n">reward</span> <span class="o">+</span> <span class="n">discount_factor</span> <span class="o">*</span> <span class="n">next_max</span> <span class="o">-</span> <span class="n">q_table</span><span class="p">[</span><span class="n">state</span><span class="p">,</span> <span class="n">action</span><span class="p">]</span>
+                <span class="p">)</span>
+
+            <span class="n">state</span> <span class="o">=</span> <span class="n">next_state</span>
+
+        <span class="n">episode_rewards</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">total_reward</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="p">{</span>
+        <span class="s2">&quot;episode_rewards&quot;</span><span class="p">:</span> <span class="n">episode_rewards</span><span class="p">,</span>
+        <span class="s2">&quot;mean_reward&quot;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">episode_rewards</span><span class="p">),</span>
+        <span class="s2">&quot;std_reward&quot;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">episode_rewards</span><span class="p">),</span>
+    <span class="p">}</span>
+</pre></div>
+</div>
+</section>
+</section>
+<section id="running-the-experiment">
+<h1>Running the Experiment<a class="headerlink" href="#running-the-experiment" title="Link to this heading">¶</a></h1>
+<p>Now we’ll run experiments to compare the performance of Q-learning agents with and without action masking.
+We’ll use multiple random seeds to ensure robust statistical comparison.</p>
+<p>The experiment setup:
+- 12 independent runs with different random seeds
+- 5000 episodes per run
+- Standard Q-learning hyperparameters <code class="docutils literal notranslate"><span class="pre">(α=0.1,</span> <span class="pre">γ=0.95,</span> <span class="pre">ε=0.1)</span></code></p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># Experiment parameters</span>
+<span class="n">n_runs</span> <span class="o">=</span> <span class="mi">12</span>
+<span class="n">episodes</span> <span class="o">=</span> <span class="mi">5000</span>
+<span class="n">learning_rate</span> <span class="o">=</span> <span class="mf">0.1</span>
+<span class="n">discount_factor</span> <span class="o">=</span> <span class="mf">0.95</span>
+<span class="n">epsilon</span> <span class="o">=</span> <span class="mf">0.1</span>
+
+<span class="c1"># Generate different seeds for each run</span>
+<span class="n">seeds</span> <span class="o">=</span> <span class="p">[</span><span class="n">BASE_RANDOM_SEED</span> <span class="o">+</span> <span class="n">i</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">n_runs</span><span class="p">)]</span>
+
+<span class="c1"># Store results for comparison</span>
+<span class="n">masked_results_list</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="n">unmasked_results_list</span> <span class="o">=</span> <span class="p">[]</span>
+
+<span class="c1"># Run experiments with different seeds</span>
+<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">seed</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">seeds</span><span class="p">):</span>
+    <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Run </span><span class="si">{</span><span class="n">i</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1</span><span class="si">}</span><span class="s2">/</span><span class="si">{</span><span class="n">n_runs</span><span class="si">}</span><span class="s2"> with seed </span><span class="si">{</span><span class="n">seed</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
+
+    <span class="c1"># Train agent WITH action masking</span>
+    <span class="n">env_masked</span> <span class="o">=</span> <span class="n">gym</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">&quot;Taxi-v3&quot;</span><span class="p">)</span>
+    <span class="n">masked_results</span> <span class="o">=</span> <span class="n">train_q_learning</span><span class="p">(</span>
+        <span class="n">env_masked</span><span class="p">,</span>
+        <span class="n">use_action_mask</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">,</span>
+        <span class="n">learning_rate</span><span class="o">=</span><span class="n">learning_rate</span><span class="p">,</span>
+        <span class="n">discount_factor</span><span class="o">=</span><span class="n">discount_factor</span><span class="p">,</span>
+        <span class="n">epsilon</span><span class="o">=</span><span class="n">epsilon</span><span class="p">,</span>
+        <span class="n">episodes</span><span class="o">=</span><span class="n">episodes</span><span class="p">,</span>
+    <span class="p">)</span>
+    <span class="n">env_masked</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
+    <span class="n">masked_results_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">masked_results</span><span class="p">)</span>
+
+    <span class="c1"># Train agent WITHOUT action masking</span>
+    <span class="n">env_unmasked</span> <span class="o">=</span> <span class="n">gym</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">&quot;Taxi-v3&quot;</span><span class="p">)</span>
+    <span class="n">unmasked_results</span> <span class="o">=</span> <span class="n">train_q_learning</span><span class="p">(</span>
+        <span class="n">env_unmasked</span><span class="p">,</span>
+        <span class="n">use_action_mask</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+        <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">,</span>
+        <span class="n">learning_rate</span><span class="o">=</span><span class="n">learning_rate</span><span class="p">,</span>
+        <span class="n">discount_factor</span><span class="o">=</span><span class="n">discount_factor</span><span class="p">,</span>
+        <span class="n">epsilon</span><span class="o">=</span><span class="n">epsilon</span><span class="p">,</span>
+        <span class="n">episodes</span><span class="o">=</span><span class="n">episodes</span><span class="p">,</span>
+    <span class="p">)</span>
+    <span class="n">env_unmasked</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
+    <span class="n">unmasked_results_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">unmasked_results</span><span class="p">)</span>
+</pre></div>
+</div>
+</section>
+<section id="visualizing-results">
+<h1>Visualizing Results<a class="headerlink" href="#visualizing-results" title="Link to this heading">¶</a></h1>
+<p>After running all experiments, we calculate statistics and create visualizations to compare the performance of both approaches.</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># Calculate statistics across runs</span>
+<span class="n">masked_mean_rewards</span> <span class="o">=</span> <span class="p">[</span><span class="n">r</span><span class="p">[</span><span class="s2">&quot;mean_reward&quot;</span><span class="p">]</span> <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">masked_results_list</span><span class="p">]</span>
+<span class="n">unmasked_mean_rewards</span> <span class="o">=</span> <span class="p">[</span><span class="n">r</span><span class="p">[</span><span class="s2">&quot;mean_reward&quot;</span><span class="p">]</span> <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">unmasked_results_list</span><span class="p">]</span>
+
+<span class="n">masked_overall_mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">masked_mean_rewards</span><span class="p">)</span>
+<span class="n">masked_overall_std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">masked_mean_rewards</span><span class="p">)</span>
+<span class="n">unmasked_overall_mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">unmasked_mean_rewards</span><span class="p">)</span>
+<span class="n">unmasked_overall_std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">unmasked_mean_rewards</span><span class="p">)</span>
+
+<span class="c1"># Create visualization</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">8</span><span class="p">),</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
+
+<span class="c1"># Plot individual runs with low alpha</span>
+<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="p">(</span><span class="n">masked_results</span><span class="p">,</span> <span class="n">unmasked_results</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span>
+    <span class="nb">zip</span><span class="p">(</span><span class="n">masked_results_list</span><span class="p">,</span> <span class="n">unmasked_results_list</span><span class="p">)</span>
+<span class="p">):</span>
+    <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
+        <span class="n">masked_results</span><span class="p">[</span><span class="s2">&quot;episode_rewards&quot;</span><span class="p">],</span>
+        <span class="n">label</span><span class="o">=</span><span class="s2">&quot;With Action Masking&quot;</span> <span class="k">if</span> <span class="n">i</span> <span class="o">==</span> <span class="mi">0</span> <span class="k">else</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">color</span><span class="o">=</span><span class="s2">&quot;blue&quot;</span><span class="p">,</span>
+        <span class="n">alpha</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span>
+    <span class="p">)</span>
+    <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
+        <span class="n">unmasked_results</span><span class="p">[</span><span class="s2">&quot;episode_rewards&quot;</span><span class="p">],</span>
+        <span class="n">label</span><span class="o">=</span><span class="s2">&quot;Without Action Masking&quot;</span> <span class="k">if</span> <span class="n">i</span> <span class="o">==</span> <span class="mi">0</span> <span class="k">else</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">color</span><span class="o">=</span><span class="s2">&quot;red&quot;</span><span class="p">,</span>
+        <span class="n">alpha</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span>
+    <span class="p">)</span>
+
+<span class="c1"># Calculate and plot mean curves across all runs</span>
+<span class="n">masked_mean_curve</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">([</span><span class="n">r</span><span class="p">[</span><span class="s2">&quot;episode_rewards&quot;</span><span class="p">]</span> <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">masked_results_list</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+<span class="n">unmasked_mean_curve</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span>
+    <span class="p">[</span><span class="n">r</span><span class="p">[</span><span class="s2">&quot;episode_rewards&quot;</span><span class="p">]</span> <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">unmasked_results_list</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span>
+<span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
+    <span class="n">masked_mean_curve</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;With Action Masking (Mean)&quot;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;blue&quot;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span>
+<span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
+    <span class="n">unmasked_mean_curve</span><span class="p">,</span>
+    <span class="n">label</span><span class="o">=</span><span class="s2">&quot;Without Action Masking (Mean)&quot;</span><span class="p">,</span>
+    <span class="n">color</span><span class="o">=</span><span class="s2">&quot;red&quot;</span><span class="p">,</span>
+    <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Episode&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;Total Reward&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Training Performance: Q-Learning with vs without Action Masking&quot;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="kc">True</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.3</span><span class="p">)</span>
+
+<span class="c1"># Save the figure</span>
+<span class="n">savefig_folder</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="s2">&quot;_static/img/tutorials/&quot;</span><span class="p">)</span>
+<span class="n">savefig_folder</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span>
+    <span class="n">savefig_folder</span> <span class="o">/</span> <span class="s2">&quot;taxi_v3_action_masking_comparison.png&quot;</span><span class="p">,</span>
+    <span class="n">bbox_inches</span><span class="o">=</span><span class="s2">&quot;tight&quot;</span><span class="p">,</span>
+    <span class="n">dpi</span><span class="o">=</span><span class="mi">150</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+<img alt="../../../_images/taxi_v3_action_masking_comparison.png" src="../../../_images/taxi_v3_action_masking_comparison.png" />
+</section>
+<section id="results-analysis">
+<h1>Results Analysis<a class="headerlink" href="#results-analysis" title="Link to this heading">¶</a></h1>
+<p>The comparison demonstrates several important benefits of using action masking:</p>
+<p>Key Benefits of Action Masking:</p>
+<p>1. Faster Convergence: Agents with action masking typically learn faster because they don’t waste time exploring
+invalid actions.</p>
+<ol class="arabic simple" start="2">
+<li><p>Better Performance: By focusing only on valid actions, the agent can achieve higher rewards more consistently.</p></li>
+<li><p>More Stable Learning: Action masking reduces the variance in learning by eliminating the randomness associated with invalid action selection.</p></li>
+<li><p>Practical Applicability: In real-world scenarios, action masking prevents agents from taking actions that could be dangerous or impossible.</p></li>
+</ol>
+<p>Reminder of Key Implementation Details</p>
+<ul class="simple">
+<li><p>Action Selection: We filter available actions using <code class="docutils literal notranslate"><span class="pre">np.nonzero(action_mask</span> <span class="pre">==</span> <span class="pre">1)[0]</span></code> to get only valid actions</p></li>
+<li><p>Q-Value Updates: When computing the maximum future Q-value, we only consider valid  actions in the next state</p></li>
+<li><p>Exploration: Random action selection is constrained to the set of valid actions</p></li>
+</ul>
+<p>This approach ensures that the agent never selects invalid actions while still maintaining the exploration-exploitation balance necessary for effective learning.</p>
+<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-training-agents-action-masking-taxi-py">
+<div class="sphx-glr-download sphx-glr-download-python docutils container">
+<p><a class="reference download internal" download="" href="../../../_downloads/59d32aca01d2a167e2c4cd11db2248db/action_masking_taxi.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">action_masking_taxi.py</span></code></a></p>
+</div>
+<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
+<p><a class="reference download internal" download="" href="../../../_downloads/f568409c70f62ce68a7552285b9724db/action_masking_taxi.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">action_masking_taxi.ipynb</span></code></a></p>
+</div>
+</div>
+</section>
+
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+                <div class="title">Solving Blackjack with Tabular Q-Learning</div>
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+              On this page
+            </span>
+          </div>
+          <div class="toc-tree-container">
+            <div class="toc-tree">
+              <ul>
+<li><a class="reference internal" href="#">Action Masking in the Taxi Environment</a><ul>
+<li><a class="reference internal" href="#understanding-the-taxi-environment">Understanding the Taxi Environment</a></li>
+<li><a class="reference internal" href="#how-action-masking-works">How Action Masking Works</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#running-the-experiment">Running the Experiment</a></li>
+<li><a class="reference internal" href="#visualizing-results">Visualizing Results</a></li>
+<li><a class="reference internal" href="#results-analysis">Results Analysis</a></li>
+</ul>
+
+            </div>
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+            }
+          } else {
+            if (projectJson.website !== null) {
+              sections["Incubating Projects"]["Documentation"].push(projectJson)
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+              subSectionContainerElem.appendChild(subSectionElem);
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+            const projects = sections[key];
+            const ulElem = createProjectsList(projects, true);
+            sectionElem.appendChild(ulElem);
+          }
+          menuContainer.appendChild(sectionElem)
+        });
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+        console.error("Unable to load projects");
+      };
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+      };
+      fetch('/main/_static/versioning/versioning_menu.html').then(response => {
+        if (response.status === 200) {
+            response.text().then(text => {
+                const container = document.createElement("div");
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+                // innerHtml doenst evaluate scripts, we need to add them dynamically
+                Array.from(container.querySelectorAll("script")).forEach(oldScript => {
+                    const newScript = document.createElement("script");
+                    Array.from(oldScript.attributes).forEach(attr => newScript.setAttribute(attr.name, attr.value));
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+</html>
\ No newline at end of file
diff --git a/tutorials/training_agents/blackjack_q_learning/index.html b/tutorials/training_agents/blackjack_q_learning/index.html
index b6a0c5ca1..81e3121a1 100644
--- a/tutorials/training_agents/blackjack_q_learning/index.html
+++ b/tutorials/training_agents/blackjack_q_learning/index.html
@@ -8,7 +8,7 @@
     <meta property="og:type" content="website" />
     <meta property="og:description" content="A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)" />
     <meta property="og:url" content="https://gymnasium.farama.org/tutorials/training_agents/blackjack_q_learning.html" /><meta property="og:image" content="https://gymnasium.farama.org/_static/img/gymnasium-github.png" /><meta name="twitter:card" content="summary_large_image"><meta name="viewport" content="width=device-width, initial-scale=1" />
-<link rel="index" title="Index" href="../../../genindex/" /><link rel="search" title="Search" href="../../../search/" /><link rel="next" title="Solving Frozenlake with Tabular Q-Learning" href="../frozenlake_q_learning/" /><link rel="prev" title="Training Agents" href="../" />
+<link rel="index" title="Index" href="../../../genindex/" /><link rel="search" title="Search" href="../../../search/" /><link rel="next" title="Solving Frozenlake with Tabular Q-Learning" href="../frozenlake_q_learning/" /><link rel="prev" title="Action Masking in the Taxi Environment" href="../action_masking_taxi/" />
         <link rel="canonical" href="https://gymnasium.farama.org/tutorials/training_agents/blackjack_q_learning.html" />
 
     <link rel="shortcut icon" href="../../../_static/favicon.png"/><!-- Generated with Sphinx 7.4.7 and Furo 2023.08.19.dev1 -->
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 current has-children"><a class="reference internal" href="../">Training Agents</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
@@ -376,7 +379,7 @@
             
             <div class="sphx-glr-example-title admonition note">
 <p class="admonition-title">Note</p>
-<p>This example is compatible with Gymnasium version 1.2.0.</p>
+<p>This tutorial is compatible with Gymnasium version 1.2.0.</p>
 </div>
 <section id="solving-blackjack-with-tabular-q-learning">
 <span id="sphx-glr-tutorials-training-agents-blackjack-q-learning-py"></span><h1>Solving Blackjack with Tabular Q-Learning<a class="headerlink" href="#solving-blackjack-with-tabular-q-learning" title="Link to this heading">¶</a></h1>
@@ -803,7 +806,7 @@ Barto</a>, section
                 <use href="#svg-arrow-right"></use>
               </svg>
             </a>
-            <a class="prev-page" href="../">
+            <a class="prev-page" href="../action_masking_taxi/">
               <svg class="furo-related-icon">
                 <use href="#svg-arrow-right"></use>
               </svg>
@@ -812,7 +815,7 @@ Barto</a>, section
                   <span>Previous</span>
                 </div>
                 
-                <div class="title">Training Agents</div>
+                <div class="title">Action Masking in the Taxi Environment</div>
                 
               </div>
             </a>
diff --git a/tutorials/training_agents/frozenlake_q_learning/index.html b/tutorials/training_agents/frozenlake_q_learning/index.html
index ba8be3776..0d60d5409 100644
--- a/tutorials/training_agents/frozenlake_q_learning/index.html
+++ b/tutorials/training_agents/frozenlake_q_learning/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 current has-children"><a class="reference internal" href="../">Training Agents</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
@@ -376,7 +379,7 @@
             
             <div class="sphx-glr-example-title admonition note">
 <p class="admonition-title">Note</p>
-<p>This example is compatible with Gymnasium version 1.2.0.</p>
+<p>This tutorial is compatible with Gymnasium version 1.2.0.</p>
 </div>
 <section id="solving-frozenlake-with-tabular-q-learning">
 <span id="sphx-glr-tutorials-training-agents-frozenlake-q-learning-py"></span><h1>Solving Frozenlake with Tabular Q-Learning<a class="headerlink" href="#solving-frozenlake-with-tabular-q-learning" title="Link to this heading">¶</a></h1>
diff --git a/tutorials/training_agents/index.html b/tutorials/training_agents/index.html
index 2e58c10db..2d6e3f5f5 100644
--- a/tutorials/training_agents/index.html
+++ b/tutorials/training_agents/index.html
@@ -8,7 +8,7 @@
     <meta property="og:type" content="website" />
     <meta property="og:description" content="A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)" />
     <meta property="og:url" content="https://gymnasium.farama.org/tutorials/training_agents/index.html" /><meta property="og:image" content="https://gymnasium.farama.org/_static/img/gymnasium-github.png" /><meta name="twitter:card" content="summary_large_image"><meta name="viewport" content="width=device-width, initial-scale=1" />
-<link rel="index" title="Index" href="../../genindex/" /><link rel="search" title="Search" href="../../search/" /><link rel="next" title="Solving Blackjack with Tabular Q-Learning" href="blackjack_q_learning/" /><link rel="prev" title="Load custom quadruped robot environments" href="../gymnasium_basics/load_quadruped_model/" />
+<link rel="index" title="Index" href="../../genindex/" /><link rel="search" title="Search" href="../../search/" /><link rel="next" title="Action Masking in the Taxi Environment" href="action_masking_taxi/" /><link rel="prev" title="Load custom quadruped robot environments" href="../gymnasium_basics/load_quadruped_model/" />
         <link rel="canonical" href="https://gymnasium.farama.org/tutorials/training_agents/index.html" />
 
     <link rel="shortcut icon" href="../../_static/favicon.png"/><!-- Generated with Sphinx 7.4.7 and Furo 2023.08.19.dev1 -->
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 current has-children current-page"><a class="current reference internal" href="#">Training Agents</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
@@ -377,7 +380,10 @@
             <section id="training-agents">
 <span id="sphx-glr-tutorials-training-agents"></span><h1>Training Agents<a class="headerlink" href="#training-agents" title="Link to this heading">¶</a></h1>
 <p id="gallery-section-name">The most common application of Gymnasium is for training RL agents. Therefore, these tutorials aim to show a range of example implementations for different environments.</p>
-<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="This tutorial trains an agent for BlackJack using tabular Q-learning."><img alt="" src="../../_images/sphx_glr_blackjack_q_learning_thumb.png" />
+<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="This tutorial demonstrates how to use action masking in the Taxi environment to improve reinfor..."><img alt="" src="../../_images/sphx_glr_action_masking_taxi_thumb.png" />
+<p><a class="reference internal" href="action_masking_taxi/#sphx-glr-tutorials-training-agents-action-masking-taxi-py"><span class="std std-ref">Action Masking in the Taxi Environment</span></a></p>
+  <div class="sphx-glr-thumbnail-title">Action Masking in the Taxi Environment</div>
+</div><div class="sphx-glr-thumbcontainer" tooltip="This tutorial trains an agent for BlackJack using tabular Q-learning."><img alt="" src="../../_images/sphx_glr_blackjack_q_learning_thumb.png" />
 <p><a class="reference internal" href="blackjack_q_learning/#sphx-glr-tutorials-training-agents-blackjack-q-learning-py"><span class="std std-ref">Solving Blackjack with Tabular Q-Learning</span></a></p>
   <div class="sphx-glr-thumbnail-title">Solving Blackjack with Tabular Q-Learning</div>
 </div><div class="sphx-glr-thumbcontainer" tooltip="This tutorial trains an agent for FrozenLake using tabular Q-learning."><img alt="" src="../../_images/sphx_glr_frozenlake_q_learning_thumb.png" />
@@ -398,12 +404,12 @@
         <footer>
           
           <div class="related-pages">
-            <a class="next-page" href="blackjack_q_learning/">
+            <a class="next-page" href="action_masking_taxi/">
               <div class="page-info">
                 <div class="context">
                   <span>Next</span>
                 </div>
-                <div class="title">Solving Blackjack with Tabular Q-Learning</div>
+                <div class="title">Action Masking in the Taxi Environment</div>
               </div>
               <svg class="furo-related-icon">
                 <use href="#svg-arrow-right"></use>
diff --git a/tutorials/training_agents/mujoco_reinforce/index.html b/tutorials/training_agents/mujoco_reinforce/index.html
index 01e8bc9a4..929af7e00 100644
--- a/tutorials/training_agents/mujoco_reinforce/index.html
+++ b/tutorials/training_agents/mujoco_reinforce/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 current has-children"><a class="reference internal" href="../">Training Agents</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Training using REINFORCE for Mujoco</a></li>
@@ -376,7 +379,7 @@
             
             <div class="sphx-glr-example-title admonition note">
 <p class="admonition-title">Note</p>
-<p>This example is compatible with Gymnasium version 1.2.0.</p>
+<p>This tutorial is compatible with Gymnasium version 1.2.0.</p>
 </div>
 <section id="training-using-reinforce-for-mujoco">
 <span id="sphx-glr-tutorials-training-agents-mujoco-reinforce-py"></span><h1>Training using REINFORCE for Mujoco<a class="headerlink" href="#training-using-reinforce-for-mujoco" title="Link to this heading">¶</a></h1>
diff --git a/tutorials/training_agents/vector_a2c/index.html b/tutorials/training_agents/vector_a2c/index.html
index 9c15e56c2..d1ba889ab 100644
--- a/tutorials/training_agents/vector_a2c/index.html
+++ b/tutorials/training_agents/vector_a2c/index.html
@@ -221,8 +221,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/create_custom_env/">Create a Custom Environment</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/record_agent/">Recording Agents</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../../../introduction/speed_up_env/">Speeding Up Training</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/gym_compatibility/">Compatibility with Gym</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Migration Guide - v0.21 to v1.0.0</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../introduction/migration_guide/">Gym Migration Guide</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API</span></p>
 <ul>
@@ -302,6 +301,10 @@
 </ul>
 </li>
 <li class="toctree-l1 current has-children"><a class="reference internal" href="../">Training Agents</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Training Agents</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/">Action Masking in the Taxi Environment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/#running-the-experiment">Running the Experiment</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/#visualizing-results">Visualizing Results</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../action_masking_taxi/#results-analysis">Results Analysis</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../blackjack_q_learning/">Solving Blackjack with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../frozenlake_q_learning/">Solving Frozenlake with Tabular Q-Learning</a></li>
 <li class="toctree-l2"><a class="reference internal" href="../mujoco_reinforce/">Training using REINFORCE for Mujoco</a></li>
@@ -376,7 +379,7 @@
             
             <div class="sphx-glr-example-title admonition note">
 <p class="admonition-title">Note</p>
-<p>This example is compatible with Gymnasium version 1.2.0.</p>
+<p>This tutorial is compatible with Gymnasium version 1.2.0.</p>
 </div>
 <section id="speeding-up-a2c-training-with-vector-envs">
 <span id="sphx-glr-tutorials-training-agents-vector-a2c-py"></span><h1>Speeding up A2C Training with Vector Envs<a class="headerlink" href="#speeding-up-a2c-training-with-vector-envs" title="Link to this heading">¶</a></h1>