An elegant PyTorch deep reinforcement learning library.

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

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

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

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

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

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

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

Real-time behaviour synthesis with MuJoCo, using Predictive Control

Python library for Reinforcement Learning.

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.

Unified Reinforcement Learning Framework

[CoRL '23] Dexterous piano playing with deep reinforcement learning.

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

PyTorch implementation of Soft Actor-Critic (SAC)

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

A collection of robotics simulation environments for reinforcement learning

A unified framework for robot learning

PyTorch implementation of Trust Region Policy Optimization