From dd57ef8329ea689d0d2461b78a1eedc762c2e808 Mon Sep 17 00:00:00 2001 From: Elliot Tower <32176771+elliottower@users.noreply.github.com> Date: Wed, 29 Mar 2023 10:00:02 -0400 Subject: [PATCH] Add gym-cellular-automata to third-party envs, reorder by stars (#412) --- docs/environments/third_party_environments.md | 19 +++++++++++-------- 1 file changed, 11 insertions(+), 8 deletions(-) diff --git a/docs/environments/third_party_environments.md b/docs/environments/third_party_environments.md index 691648f7e..401dffffd 100644 --- a/docs/environments/third_party_environments.md +++ b/docs/environments/third_party_environments.md @@ -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. -### [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)]() -[![GitHub stars](https://img.shields.io/github/stars/markub3327/flappy-bird-gymnasium)]() +[![Gymnasium version dependency](https://img.shields.io/badge/Gymnasium-v0.28.1-blue)]() +[![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) @@ -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. +### [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 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. -### [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) The environment consists of transportation puzzles in which the player's goal is to push all boxes to the warehouse's storage locations.