There are 13 repositories under mujoco topic.
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
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
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.
Unified Reinforcement Learning Framework
[CoRL '23] Dexterous piano playing with deep reinforcement learning.
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
DrQ: Data regularized Q
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Reinforcement learning algorithms for MuJoCo tasks
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.
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
PyTorch Implementation of REINFORCE for both discrete & continuous control
Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Dual UR5 Husky Robot MuJoCo Model
Minimal, clean, single-file implementations of common robotics controllers in MuJoCo.
Simple renderer for use with MuJoCo (>=2.1.2) Python Bindings.
A CLI for processing composite Wavefront OBJ files for use in MuJoCo.
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework