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

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

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

Iterative LQG for a couple of MuJoCo models

Multi-rotor Gym

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

Model-based Policy Gradients

PPO implementation of Humanoid-v2 from Open-AI gym

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

Soft robotics in MuJoCo

Manipulation Demo using mujoco-py

Sparse environment for MuJoCo suite (v2 and v3)

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

Implementation of Multiplicative Compositional Policies (MCP)

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

Deploying MuJoCo MPC with Docker on Windows

Reinforcement Learning CS6700 Course Capstone Project

Training robots to play soccer