This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

• UpdatedJul 14, 2019
• Python

Simple renderer for use with MuJoCo (>=2.1.2) Python Bindings.

• UpdatedNov 14, 2023
• Python

This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.

• UpdatedMay 6, 2019
• Python

Iterative LQG for a couple of MuJoCo models

• UpdatedAug 16, 2022
• C++

Multi-rotor Gym

• UpdatedMay 23, 2023
• Python

Model-based Policy Gradients

• UpdatedMar 12, 2020
• Python

Simple-to-use-and-extend implementation of the DeepMimic Approach using the MuJoCo Physics Engine and Stable Baselines 3, mainly for locomotion tasks.

• UpdatedJun 15, 2024
• Python

PPO implementation of Humanoid-v2 from Open-AI gym

• UpdatedMar 25, 2023
• Python

The code corresponding to the paper "Improving Sample Efficiency of Deep Reinforcement Learning for Bipedal Walking".

• UpdatedAug 8, 2022
• Python

Soft robotics in MuJoCo

• UpdatedAug 26, 2023
• Python

Manipulation Demo using mujoco-py

• UpdatedJul 26, 2022
• Python

Sparse environment for MuJoCo suite (v2 and v3)

• UpdatedSep 12, 2019
• Python

Turn STL formulas into maps and planed paths, control robots with DRL controllers.

• UpdatedApr 16, 2023
• Python

• UpdatedNov 23, 2023
• Python

Implementation of Multiplicative Compositional Policies (MCP)

• UpdatedMay 10, 2022
• Python

Reinforcement Learning CS6700 Course Capstone Project

• UpdatedMar 16, 2019
• Python

Code from "How useful is quantilization for mitigating specification-gaming?"

• UpdatedJun 17, 2024
• Python

The Docker image for the isolated Mujoco environment

• UpdatedMay 9, 2024
• Dockerfile

Installation MuJoCo on Ubuntu 16.04 with NVIDIA GPU

• UpdatedMay 15, 2018

Training robots to play soccer

• UpdatedJun 25, 2024
• Python