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

Reinforcement Learning environments based on the 1993 game Doom

Clean PyTorch implementations of imitation and reward learning algorithms

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

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

Unified Reinforcement Learning Framework

A collection of robotics simulation environments for reinforcement learning

Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab

Multi-Objective Reinforcement Learning algorithms implementations.

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

Multi-objective Gymnasium environments for reinforcement learning

Retro games for Reinforcement Learning

An API conversion tool for popular external reinforcement learning environments

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

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

A collection of Gymnasium compatible games for reinforcement learning.

Easily implement custom Gymnasium environments for real-time applications

A comprehensive framework for reinforcement learning in robotics, which allows users to train their robots in both simulated and real-world environments.

A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.