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
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, Brax and other environments
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.
An API conversion tool for popular external reinforcement learning environments
Model Predictive Path Integral Control (MPPI) with PyTorch
An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.
Easily implement custom Gymnasium environments for real-time applications
A collection of Gymnasium compatible games for reinforcement learning.
A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.
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
A Mujoco Gymnasium Environment for manipulating flexible objects with a UR5e robot arm and Robotiq 2F-85 gripper. Experiment with joint effort, velocity, position, and operational space controllers. Teleoperate in task space and visualize in GUI. Note: Experimental, not actively maintained.
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