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

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

Clean PyTorch implementations of imitation and reward learning algorithms

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 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

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

An API conversion tool for popular external reinforcement learning environments

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

Easily implement custom Gymnasium environments for real-time applications

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

A collection of Gymnasium compatible games for reinforcement learning.

Develop your agent for generals.io!

A lean, ROS-free sim-to-real framework for training and deploying Vision-Language-Action (VLA) models and RL agents. Native MuJoCo Gymnasium wrappers with synchronous execution for Franka, UR5e, xArm, and SO101.

ReinforceUI-Studio. A Python-based application designed to simplify the configuration and monitoring of RL training processes. Supporting MuJoCo, OpenAI Gymnasium, and DeepMind Control Suite. Algorithms included: CTD4, DDPG, DQN, PPO, SAC, TD3, TQC