A unified framework for robot learning

Repository to accompany RSS 2018 paper on dexterous hand manipulation

Tutorial on how to get started with MuJoCo Simulation Platform. MuJoCo stands for Multi-Joint dynamics with Contact. It was acquired and made freely available by DeepMind in October 2021, and open sourced in May 2022. Feel free to contribute. Show your support by ✨this repository.

Dual UR5 Husky Robot MuJoCo Model

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

OpenAI Gym environment solutions using Deep Reinforcement Learning.

Multi-rotor Gym

Mujoco Gym environment for the control of quadruped robots

Mujoco Model for UR5-Ridgeback-Robotiq Robot

PPO implementation of Humanoid-v2 from Open-AI gym

PPO implementation for controlling a humanoid in Gymnasium's Mujoco environment, featuring customizable training scripts and multi-environment parallel training.

Meta QLearning experiments to optimize robot walking patterns

Code of the article "Benchmarking the Sim-to-Real Gap in Cloth Manipulation"

Soft robotics in MuJoCo

Efficient Model-Based Deep Reinforcement Learning with Predictive Control: Developed a Model-Based RL algorithm using MPC, achieving convergence in 200 episodes (best case) and 1000 episodes on average, outperforming SAC/DQN (10,000+ episodes). Enhanced sample efficiency by 80-90% using learned dynamics and CEM for trajectory optimization.

Sparse environment for MuJoCo suite (v2 and v3)

IsaacLab to Mujoco GO2 deploy, IsaacLab to Real world GO2 deploy

Dockerfile for mujoco200 environment. Visualization via X server.

Official Tensorflow implementation of 'Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives'

Soft Actor-Critic (SAC) algorithm + Hindsight Experience Replay (HER) implementation on Robosuite Panda robot and Gymnasium Pick And Place (Pytorch)