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Add gym-cellular-automata to third-party envs, reorder by stars (#412)

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2023-03-29 10:00:02 -04:00
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docs/environments/third_party_environments.md
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@@ -66,12 +66,12 @@ Highly scalable and customizable Safe Reinforcement Learning library.
Supported fork of [gym-retro](https://openai.com/research/gym-retro): turn classic video games into Gymnasium environments. Supported fork of [gym-retro](https://openai.com/research/gym-retro): turn classic video games into Gymnasium environments.
### [flappy-bird-gymnasium: A Flappy Bird environment for Gymnasium](https://github.com/markub3327/flappy-bird-gymnasium) ### [gym-cellular-automata: Cellular Automata environments](https://github.com/elbecerrasoto/gym-cellular-automata)
[![Gymnasium version dependency](https://img.shields.io/badge/Gymnasium-v0.27.1-blue)]() [![Gymnasium version dependency](https://img.shields.io/badge/Gymnasium-v0.28.1-blue)]()
[![GitHub stars](https://img.shields.io/github/stars/markub3327/flappy-bird-gymnasium)]() [![GitHub stars](https://img.shields.io/github/stars/elbecerrasoto/gym-cellular-automata)]()
A simple environment for single-agent reinforcement learning algorithms on a clone of [Flappy Bird](https://en.wikipedia.org/wiki/Flappy_Bird), the hugely popular arcade-style mobile game. Both state and pixel observation environments are available. Environments where the agent interacts with _Cellular Automata_ by changing its cell states.
### [gym-saturation: Environments used to prove theorems](https://github.com/inpefess/gym-saturation) ### [gym-saturation: Environments used to prove theorems](https://github.com/inpefess/gym-saturation)
@@ -87,6 +87,13 @@ An environment for guiding automated theorem provers based on saturation algorit
An environment to easily implement discrete MDPs as gym environments. Turn a set of matrices (`P_0(s)`, `P(s'| s, a)` and `R(s', s, a)`) into a gym environment that represents the discrete MDP ruled by these dynamics. An environment to easily implement discrete MDPs as gym environments. Turn a set of matrices (`P_0(s)`, `P(s'| s, a)` and `R(s', s, a)`) into a gym environment that represents the discrete MDP ruled by these dynamics.
### [flappy-bird-gymnasium: A Flappy Bird environment for Gymnasium](https://github.com/markub3327/flappy-bird-gymnasium)
[![Gymnasium version dependency](https://img.shields.io/badge/Gymnasium-v0.27.1-blue)]()
[![GitHub stars](https://img.shields.io/github/stars/markub3327/flappy-bird-gymnasium)]()
A simple environment for single-agent reinforcement learning algorithms on a clone of [Flappy Bird](https://en.wikipedia.org/wiki/Flappy_Bird), the hugely popular arcade-style mobile game. Both state and pixel observation environments are available.
## Third-Party Environments using Gym ## Third-Party Environments using Gym
There are a large number of third-party environments using various versions of [Gym](https://github.com/openai/gym). There are a large number of third-party environments using various versions of [Gym](https://github.com/openai/gym).
@@ -185,10 +192,6 @@ Reinforcement learning environments for compiler optimization tasks, such as LLV
Configurable reinforcement learning environments for testing generalization, e.g. CartPole with variable pole lengths or Brax robots with different ground frictions. Configurable reinforcement learning environments for testing generalization, e.g. CartPole with variable pole lengths or Brax robots with different ground frictions.
### [gym-cellular-automata: Cellular Automata environments](https://github.com/elbecerrasoto/gym-cellular-automata)
Environments where the agent interacts with _Cellular Automata_ by changing its cell states.
### [gym-sokoban: 2D Transportation Puzzles](https://github.com/mpSchrader/gym-sokoban) ### [gym-sokoban: 2D Transportation Puzzles](https://github.com/mpSchrader/gym-sokoban)
The environment consists of transportation puzzles in which the player's goal is to push all boxes to the warehouse's storage locations. The environment consists of transportation puzzles in which the player's goal is to push all boxes to the warehouse's storage locations.