mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

An elegant PyTorch deep reinforcement learning library.

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research

A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.

A collection of robotics simulation environments for reinforcement learning

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

Real-time behaviour synthesis with MuJoCo, using Predictive Control

Python inverse kinematics based on MuJoCo.

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

Training a humanoid robot for locomotion using Reinforcement Learning

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

The Fastest Deep Reinforcement Learning Library

Python library for Reinforcement Learning.

UniLab: A Heterogeneous Architecture for Robot RL Beyond GPU-Dominant Paradigms

Unified Reinforcement Learning Framework