An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
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Updated
Jul 2, 2024 - Python
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
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.
Multi-objective Gymnasium environments for reinforcement learning
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
An API conversion tool for popular external reinforcement learning environments
An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.
A collection of Gymnasium compatible games for reinforcement learning.
Easily implement custom Gymnasium environments for real-time applications
A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.
Base Mujoco Gymnasium environment for easily controlling any robot arm with operational space control. Built with dm-control PyMJCF for easy configuration.
Simple Gridworld Gymnasium Environment
An open source playground energy storage environment to explore reinforcement learning and model predictive control.
Model Predictive Path Integral Control (MPPI) with PyTorch
Fancy Gym: Unifying interface for various RL benchmarks with support for Black Box approaches.
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