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89 search results found

Dm_control ⭐ 3,541

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Pytorch A2c Ppo Acktr Gail ⭐ 3,484

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Di Engine ⭐ 2,681

OpenDILab Decision AI Engine

Coach ⭐ 2,312

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Deep Neuroevolution ⭐ 1,502

Deep Neuroevolution

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.

Envpool ⭐ 927

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

Mushroom Rl ⭐ 765

Python library for Reinforcement Learning.

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

Robopianist ⭐ 496

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

Unified Reinforcement Learning Framework

Robohive ⭐ 421

A unified framework for robot learning

Gymnasium Robotics ⭐ 376

A collection of robotics simulation environments for reinforcement learning

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

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Pytorch Reinforce ⭐ 261

PyTorch Implementation of REINFORCE for both discrete & continuous control

Pytorch Trpo ⭐ 252

PyTorch implementation of Trust Region Policy Optimization

Pytorch_sac ⭐ 232

PyTorch implementation of Soft Actor-Critic (SAC)

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

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

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.

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.

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

Rl Tools ⭐ 65

A Fast, Portable Deep Reinforcement Learning Library for Continuous Control

Pytorch A3c Mujoco ⭐ 62

Implement A3C for Mujoco gym envs

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

Mujocounity ⭐ 48

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Min Decision Transformer ⭐ 47

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

Policy Adaptation During Deployment ⭐ 46

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

Ilqg Mujoco ⭐ 44

Iterative LQG for a couple of MuJoCo models

Pytorch_sac_ae ⭐ 38

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

Programmable Agents_tensorflow ⭐ 38

Tensorflow Implementation of Programmable Agents

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

Proto-RL: Reinforcement Learning with Prototypical Representations

Model-based reinforcement learning in TensorFlow

Deep Rl Docker ⭐ 32

Docker image with OpenAI Gym, Baselines, MuJoCo and Roboschool, utilizing TensorFlow and JupyterLab.

Pytorch Rl Cpp ⭐ 31

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

Rllab Adv ⭐ 30

Code to train RL agents along with Adversarial distrubance agents

Ppo Stein Control Variate ⭐ 29

Proximal Policy Optimization with Stein Control Variates:

Catalyst Rl Framework ⭐ 29

Catalyst.RL: A Distributed Framework for Reproducible RL Research

Residual Policy Learning ⭐ 27

Residual policy learning

Gym_multirotor ⭐ 25

Multi-rotor Gym

Deep Developmental Reinforcement Learning

Activeragdollassaultcourse ⭐ 22

Research into Assault Course for training Active Ragdolls (using MujocoUnity+ml_agents)

Rl Visual Continuous Control ⭐ 21

RL Algorithms for Visual Continuous Control

Activeragdollcontrollers ⭐ 20

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

Hierarchical Meta Reinforcement Learning ⭐ 19

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

Deep Reinforcement Learning Cs285 Pytorch ⭐ 17

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Eagerly Experimentable!!!

Revolver ⭐ 17

REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer (ICML 2022 Long Oral)

Gym environments modified with adversarial agents

Codes For Rl Per ⭐ 15

A novel DDPG method with prioritized experience replay (IEEE SMC 2017)

Code for Environment Probing Interaction Policies [ICLR 2019]

G-HER algorithm

The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization" (NeurIPS 2023)

A clean framework and implementations for reinforcement learning algorithms.

Mujoco Pytorch ⭐ 12

PPO, DDPG, SAC implementation on mujoco environment

Rlcodebase ⭐ 12

RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms

[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control

A JAX Implementation of the Twin Delayed DDPG Algorithm

ExORL: Exploratory Data for Offline Reinforcement Learning

Stochastic Variance Reduction Policy Gradient Estimation

Banrinochoujou ⭐ 9

これは　万里の長城　です〜

Variational_rl ⭐ 9

Variational Reinforcement Learning

Deep Bayesian Quadrature Policy Optimization ⭐ 9

Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.

(NeurIPS 2018) Hardware Conditioned Policies for Multi-Robot Transfer Learning

Cs294_deep_reinforcement_learning ⭐ 8

Implementations of deep reinforcement learning algorithms for CS294@UCB

Neuralode Rl ⭐ 8

Neural Ordinary Differential Equations for Reinforcement Learning

Pytorch_bco ⭐ 7

A PyTorch implementation of BCO

Backproptools ⭐ 7

A Fast, Portable Deep Reinforcement Learning Library for Continuous Control

Awesome Openai Gym Environments ⭐ 6

Awesome openai gym environments

Asynch Mb ⭐ 6

Asynchronous methods for model-based reinforcement learning.

Esil Hindsight ⭐ 5

This is the official code of our paper "Episodic Self-Imitation Learning with Hindsight" [Electronics 2020].

Deep Rl Paper Notes ⭐ 5

Notes on various topics in deep reinforcement learning

Model Based Rl ⭐ 5

Model-based Policy Gradients

Sac Td3 Td7 ⭐ 5

pytorch implementation of SAC, TD3 and TD7 with Mujoco Benchmark results from 4 seeds.

This repository contains the code for the paper "Local policy search with Bayesian optimization".

Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning

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