Farama-Foundation

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

A collection of environments for autonomous driving and tactical decision-making tasks

Simple and easily configurable grid world environments for reinforcement learning

A simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games

Reinforcement Learning environments based on the 1993 game Doom

A collection of robotics simulation environments for reinforcement learning

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities

A collection of reference environments for offline reinforcement learning

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

Multi-objective Gymnasium environments for reinforcement learning

A fork of gym-retro with additional games, emulators and supported platforms

An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments

PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama

Simple and easily configurable 3D FPS-game-like environments for reinforcement learning

A set of communication oriented environments

Fast and procedurally generated side-scroller-game-like graphical environments (formerly Procgen)

A collection of wrappers for Gymnasium and PettingZoo environments (being merged into gymnasium.wrappers and pettingzoo.wrappers

A collection of reinforcement learning environments for simple web interaction tasks

Multi-objective multi-agent API and environments

A simple and highly efficient RTS-game-inspired environment for reinforcement learning

A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)

A tool to automate installing Atari ROMs for the Arcade Learning Environment

Example code for the Gym documentation

On-the-fly conversions between Jax and NumPy tensors