Popular GitHub Repositories for Mujoco Menagerie

An elegant PyTorch deep reinforcement learning library.

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. The Most Comprehensive Reinforcement Learning Framework B.P.

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

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

Python library for Reinforcement Learning.

The Fastest Deep Reinforcement Learning Library

Unified Reinforcement Learning Framework

A collection of robotics simulation environments for reinforcement learning

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

A unified framework for robot learning

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

PyTorch implementation of Soft Actor-Critic (SAC)

PyTorch implementation of Trust Region Policy Optimization

MuJoCo fruit fly body model and reinforcement learning tasks

DrQ: Data regularized Q

Reinforcement learning algorithms for MuJoCo tasks

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.