Gymnasium/docs/index.md

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Gymnasium is a standard API for reinforcement learning, and a diverse collection of reference environments

   :alt: Lunar Lander
   :width: 500

Gymnasium is a maintained fork of OpenAI’s Gym library. The Gymnasium interface is simple, pythonic, and capable of representing general RL problems, and has a compatibility wrapper for old Gym environments:

import gymnasium as gym
env = gym.make("LunarLander-v2", render_mode="human")
observation, info = env.reset(seed=42)
for _ in range(1000):
   action = env.action_space.sample()  # this is where you would insert your policy
   observation, reward, terminated, truncated, info = env.step(action)

   if terminated or truncated:
      observation, info = env.reset()
env.close()

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:caption: Introduction

content/basic_usage
content/gym_compatibility
content/migration-guide

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:caption: API

api/env
api/registry
api/spaces
api/wrappers
api/vector
api/utils
api/experimental

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:caption: Environments

environments/classic_control
environments/box2d
environments/toy_text
environments/mujoco
environments/atari
environments/third_party_environments

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:glob:
:caption: Tutorials

tutorials/*

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:caption: Development

Github <https://github.com/Farama-Foundation/Gymnasium>
Contribute to the Docs <https://github.com/Farama-Foundation/Gymnasium/blob/main/docs/README.md>