dm-control

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

PyTorch implementation of Soft Actor-Critic (SAC)

DrQ: Data regularized Q

RAD: Reinforcement Learning with Augmented Data

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

OpenAI Gym wrapper for the DeepMind Control Suite

Base Mujoco Gymnasium environment for easily controlling any robot arm with operational space control. Built with dm-control PyMJCF for easy configuration.

A Multi-Task Dataset for Simulated Humanoid Control

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

Convert DeepMind Control Suite to OpenAI gym environments.

Proto-RL: Reinforcement Learning with Prototypical Representations

ReinforceUI-Studio. A Python-based application designed to simplify the configuration and monitoring of RL training processes. Supporting MuJoCo, OpenAI Gymnasium, and DeepMind Control Suite. Algorithms included: CTD4, DDPG, DQN, PPO, SAC, TD3, TQC

Code for the paper: "Active Vision Might Be All You Need: Exploring Active Vision in Bimanual Robotic Manipulation"

This repository is a collection of widely used self-supervised auxiliary losses used for learning representations in reinforcement learning.

PyTorch Implementation of Visual GAIL in Atari Games

A Deep Reinforcement Learning (DeepRL) package for RL algorithm developers.

Mujoco xml model for the Fetch Robotics Freight mobile base + Panda arm

Gymnasium integration for the DeepMind Control (DMC) suite

Wrapper around dm_control to provide a gym like interface and vice-versa