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

Simple and easily configurable grid world environments for reinforcement learning

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

Reinforcement Learning environments based on the 1993 game Doom

Clean PyTorch implementations of imitation and reward learning algorithms

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

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

A collection of robotics simulation environments for reinforcement learning

Unified Reinforcement Learning Framework

Multi-objective Gymnasium environments for reinforcement learning

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

An open framework to simulate and deploy perception-based PX4/ArduPilot drone swarms with ROS2, YOLO, LiDAR, NVIDIA Jetson

Multi-Objective Reinforcement Learning algorithms implementations.

Base Mujoco Gymnasium environment for easily controlling any robot arm with operational space control. Built with dm-control PyMJCF for easy configuration.

Model Predictive Path Integral Control (MPPI) with PyTorch

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

A framework for creating rich, 3D, Minecraft-like single and multi-agent environments for AI research. (Accepted at ICML 2025).

⚡ ⚡ Deep RL (PPO) agent that manages a Uniswap V3 concentrated liquidity position, deciding when to hold, collect fees, or rebalance. Trained and validated against real on-chain data

An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.