A unified framework for robot learning
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Updated
May 1, 2024 - Python
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.
Multi-rotor Gym
OpenAI Gym environment solutions using Deep Reinforcement Learning.
Meta QLearning experiments to optimize robot walking patterns
PPO implementation of Humanoid-v2 from Open-AI gym
Official Tensorflow implementation of 'Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives'
Soft robotics in MuJoCo
Implementation of the deep-RL algorithm DDPG.
Mujoco Model for UR5-Ridgeback-Robotiq Robot
A pytorch-version implementation of RL algorithms. Now it collects TRPO, ClipPPO, A2C, GAIL and ADCV.
some experiments with training and fine-tuning decision transformer
Python3 port of the official PyTorch implementation of TD3 for OpenAI gym tasks
Sparse environment for MuJoCo suite (v2 and v3)
Dockerfile for mujoco200 environment. Visualization via X server.
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