This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
-
Updated
Jul 14, 2019 - Python
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Simple renderer for use with MuJoCo (>=2.1.2) Python Bindings.
Iterative LQG for a couple of MuJoCo models
Multi-rotor Gym
This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
Model-based Policy Gradients
The code corresponding to the paper "Improving Sample Efficiency of Deep Reinforcement Learning for Bipedal Walking".
Simple-to-use-and-extend implementation of the DeepMimic Approach using the MuJoCo Physics Engine and Stable Baselines 3, mainly for locomotion tasks.
PPO implementation of Humanoid-v2 from Open-AI gym
Soft robotics in MuJoCo
Manipulation Demo using mujoco-py
Reinforcement Learning CS6700 Course Capstone Project
Training robots to play soccer
Simple renderer for use with MuJoCo (2.2.x) Python Bindings, on M1 Mac.
cs285 homework solutions - Deep Reinforcement Learning Fall 2019
The Docker image for the isolated Mujoco environment
Installation MuJoCo on Ubuntu 16.04 with NVIDIA GPU
Python tools for robotics, deep reinforcement learning and neuroscience research.
Code from "How useful is quantilization for mitigating specification-gaming?"
This repository contains the scripts and results of running HER+DDPG experiments on the shadow dexterous hand.
Add a description, image, and links to the mujoco-py topic page so that developers can more easily learn about it.
To associate your repository with the mujoco-py topic, visit your repo's landing page and select "manage topics."