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A toolkit for developing and comparing reinforcement learning algorithms.

Baselines ⭐ 14,949

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Tianshou ⭐ 7,125

An elegant PyTorch deep reinforcement learning library.

Multi Agent Emergence Environments ⭐ 1,426

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

Evolution Strategies Starter ⭐ 1,253

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

Softlearning ⭐ 1,108

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

PFRL: a PyTorch-based deep reinforcement learning library

Soft Actor-Critic

Multiagent Competition ⭐ 614

Code for the paper "Emergent Complexity via Multi-agent Competition"

Pybullet Gym ⭐ 548

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

Unified Reinforcement Learning Framework

Robopianist ⭐ 496

[CoRL '23] Dexterous piano playing with deep reinforcement learning.

Robohive ⭐ 477

A unified framework for robot learning

Safety Gym ⭐ 379

Tools for accelerating safe exploration research.

Gymnasium Robotics ⭐ 376

A collection of robotics simulation environments for reinforcement learning

Deep_rl ⭐ 372

PyTorch implementations of deep reinforcement learning algorithms

DrQ: Data regularized Q

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Pytorch Rl ⭐ 356

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

Reward Learning Rl ⭐ 348

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

An implementation of the Augmented Random Search algorithm

Softqlearning ⭐ 324

Reinforcement Learning with Deep Energy-Based Policies

Lets Do Irl ⭐ 269

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

Deep Planning Network: Control from pixels by latent planning with learned dynamics

Latent_ode ⭐ 255

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

Pytorch Trpo ⭐ 252

PyTorch implementation of Trust Region Policy Optimization

Multiagent_mujoco ⭐ 226

Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.

Self Imitation Learning ⭐ 225

ICML 2018 Self-Imitation Learning

Multiworld ⭐ 218

Multitask Environments for RL

Hindsight Experience Replay ⭐ 201

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Reinforcement learning algorithms for MuJoCo tasks

Gym Extensions ⭐ 181

This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement learning, etc.)

Learning_to_adapt ⭐ 175

Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning

Mujoco_rl_ur5 ⭐ 171

A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

ProMP: Proximal Meta-Policy Search

H Baselines ⭐ 154

A repository of high-performing hierarchical reinforcement learning models and algorithms.

Torchrl ⭐ 127

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Mujoco Python Viewer ⭐ 122

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

Visual_foresight ⭐ 118

Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control

Deeprl_algorithms ⭐ 112

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Robogym ⭐ 111

Robotics Gym Environments

Simple kinematics calculation toolkit for robotics

Mocapact ⭐ 99

A Multi-Task Dataset for Simulated Humanoid Control

[NeurIPS 2020] Official PyTorch Implementation of "Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis". NeurIPS 2020.

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

Trajectory optimization algorithms for robotic control.

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings

Pytorch A3c Mujoco ⭐ 62

Implement A3C for Mujoco gym envs

Nervenet ⭐ 61

Code For Paper ⭐ 59

Obj2mjcf ⭐ 54

A CLI for processing composite Wavefront OBJ files for use in MuJoCo.

JAX implementations of core Deep RL algorithms

Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments (CoRL 2020)

Hand_dapg ⭐ 49

Repository to accompany RSS 2018 paper on dexterous hand manipulation

Musculoskeletal Models in MuJoCo

Min Decision Transformer ⭐ 47

Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym

Modeling_long_term_future ⭐ 43

Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future

Open source domain randomized door opening training environment

State Marginal Matching ⭐ 40

Pytorch_sac_ae ⭐ 38

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

Shapestacks ⭐ 38

Tensorflow models and simulation code for 'ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking'

Programmable Agents_tensorflow ⭐ 38

Tensorflow Implementation of Programmable Agents

Code for "Divide-and-Conquer Reinforcement Learning"

Reinmav Gym ⭐ 38

Reinforcement Learning framework for MAVs using the OpenAI Gym environment

Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization

Rlsscontinuouscontroltutorial ⭐ 34

Tutorial on continuous control at Reinforcement Learning Summer School 2017.

Proto-RL: Reinforcement Learning with Prototypical Representations

Inverse Reinforcement Learning via State Marginal Matching - CoRL 2020

Model-based reinforcement learning in TensorFlow

Ppo Pytorch ⭐ 32

Proximal policy optimization in PyTorch. Easy to read and understand.

Pytorch Rl Cpp ⭐ 31

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.

Optimal Control Via Neural Networks ⭐ 31

Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach

Vrep Env ⭐ 31

V-REP integrated with OpenAI Gym

Ebm_compositionality ⭐ 31

[NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models

Mjc_viewer ⭐ 31

A browser-based 3D viewer for MuJoCo

Pupperpythonsim ⭐ 30

Rllab Adv ⭐ 30

Code to train RL agents along with Adversarial distrubance agents

Gymexperiments ⭐ 29

Ppo Stein Control Variate ⭐ 29

Proximal Policy Optimization with Stein Control Variates:

Neurips 18 Prosthetics Challenge ⭐ 28

NeurIPS 2018: AI for Prosthetics Challenge – 3rd place solution

Residual Policy Learning ⭐ 27

Residual policy learning

Safe Mbrl ⭐ 26

Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method

A3c Mujoco ⭐ 26

Gym_multirotor ⭐ 25

Multi-rotor Gym

Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.

Coordination ⭐ 24

Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)

Domain Randomizer ⭐ 24

A standalone library to randomize various OpenAI Gym Environments

Learning Action-Value Gradients in Model-based Policy Optimization

Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)

Distributed Ppo ⭐ 23

This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).

Robustrl ⭐ 23

Robust policy search algorithms which train on model ensembles

Reproducing results of Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World https://arxiv.org/abs/1703.06907

Causalskilllearning ⭐ 21

Codebase for project about unsupervised skill learning via variational inference and causality.

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