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Stable Baselines3 ⭐ 7,292

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Tianshou ⭐ 7,125

An elegant PyTorch deep reinforcement learning library.

Minimalrl ⭐ 2,417

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Garage ⭐ 1,677

A toolkit for reproducible reinforcement learning research.

D3rlpy ⭐ 1,149

An offline deep reinforcement learning library

Deeprlhacks ⭐ 959

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Irl Imitation ⭐ 412

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Reinforcement Implementation ⭐ 380

Implementation of benchmark RL algorithms

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

Meta Rl ⭐ 332

Implementation of Meta-RL A3C algorithm

Openai_lab ⭐ 314

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Deep Rl ⭐ 270

Collection of Deep Reinforcement Learning algorithms

Rlstructures ⭐ 261

RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as examples.

Machina ⭐ 226

Deep Reinforcement Learning framework

Stable Baselines ⭐ 221

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Reinforcement learning algorithms for MuJoCo tasks

A PyTorch Library for Reinforcement Learning Research

Spinning Up Basic ⭐ 164

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

H Baselines ⭐ 154

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

Mdp Dp Rl ⭐ 153

Markov Decision Processes, Dynamic Programming and Reinforcement Learning

Reinforcement Learning Algorithms With Python ⭐ 152

Reinforcement Learning Algorithms with Python, Published by Packt

Anyrl Py ⭐ 146

A reinforcement learning framework

Rl Reliability Metrics ⭐ 145

The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as well as statistical tools for comparing algorithms and for computing confidence intervals on these metrics.

Tradzqai ⭐ 136

Trading environnement for RL agents, backtesting and training.

Ros2learn ⭐ 98

ROS 2 enabled Machine Learning algorithms

Prob_mbrl ⭐ 96

A library of probabilistic model based RL algorithms in pytorch

Pytorch Rl ⭐ 64

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications

Rl Experiments ⭐ 47

High-quality implementations of deep reinforcement learning algorithms for experiments

Torch Discounted Cumsum ⭐ 44

Fast Discounted Cumulative Sums in PyTorch

Gym_xplane_ml ⭐ 43

GYM Environment for XPlane. Reinforcement Learning and Autonomous Piloting.

Lifelong_rl ⭐ 42

Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Reset-Free Lifelong Learning with Skill-Space Planning.

Rl Rc Car ⭐ 40

Implements basic reinforcement learning algorithms to control a remote-control car in a room.

QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.

Differint ⭐ 33

Python package for calculating fractional derivatives.

Deep Rl Bootcamp Labs ⭐ 32

Solutions to the Deep RL Bootcamp labs

算法数学科学。这是一个全网收藏夹; 一个备忘录; 一个To-Do List; 未来的技能点; 个人知识库; 也是一个算法工程师的网址导航．热爱生活, 不断探索．Have fun : )

Rl_labs_notebooks ⭐ 30

Labs for understanding and coding Standard Reinforcement Learning concepts

Deep Rl Agents ⭐ 28

Torchingup ⭐ 25

TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement OpenAI’s SpinningUp repository, which contains similar algorithms implemented in Tensorflow.

Rl Algorithms ⭐ 25

Reinforcement learning algorithms

Rl_swiss ⭐ 25

Logarithmic Reinforcement Learning

Project1 Boptest Gym ⭐ 25

Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcement Learning" for additional details.

A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms

Ultimate Ttt Rl ⭐ 22

Reinforcement Learning based Ultimate Tic Tac Toe player

Hierarchical Meta Reinforcement Learning ⭐ 19

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

Reproducibilityincontinuouspolicygradientmethods ⭐ 18

These are experiments for examining reproducibility in Policy Gradient RL algorithms in Continuous domains. Mainly using the Rllab implementation.

Recurrent continuous reinforcement learning algorithms implemented in Pytorch.

Rl Montezuma ⭐ 17

The state-of-art deep rl algorithms for Montezuma's revenge

Learning Reinforcement Learning ⭐ 16

Elastica Rl Control ⭐ 14

Code for the cases presented in the paper "Elastica: A compliant mechanics environment for soft robotic control"

Rl_algos ⭐ 14

Reinforcement Learning Algorithms

Mushroom Rl Benchmark ⭐ 14

Benchmarking suite for MushroomRL Deep RL algorithms

Robot Learning ⭐ 14

Rl And Irl ⭐ 14

C implementation of RL and IRL algorithms

Renforce ⭐ 13

Reinforcement learning library written in Rust

Cooperative Search ⭐ 13

Multi-agent RL algorithms are applied to large-scale cooperative target searching mission

Griduniverse ⭐ 12

Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem

Reinforcement learning algorithms, worlds and experiments in Python

Distrl Tensorflow2 ⭐ 11

🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.

An RL-trained Backgammon agent

Rl Botics ⭐ 10

Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow

Minerl Rllib ⭐ 9

MineRL RLlib Benchmark

Pytorch Rl Il ⭐ 9

A library for building reinforcement learning and imitation learning agents in Pytorch

Deepreinforcementlearningpapers ⭐ 9

Unity3d Ros Rl ⭐ 9

Using a Unity3D package to connect to ROS topics, robots can be simulated in the game-engine with communication to a Reinforcement Learning Algorithm.

Reinforcement Learning Notebooks ⭐ 9

Single notebook implementation of Deep RL algorithms

KERL: reinforcement learning algorithms and tools implemented using Keras

Deep Reinforcement Learning With Pytorch ⭐ 8

Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO

Ml Dl Rl_codes ⭐ 8

This repository contains codes starting from the basic machine learning to advanced topics in Ipython Notebooks.

Rl Framework ⭐ 8

Framework of Reinforcement Learning algorithms for AILab, Peking University

DRL algorithms for Starcraft II

Reinforcement_learning ⭐ 7

Contains baseline implementations of all RL algorithms using tabular and function approximations. Algorithms such as TD(0), MC, SARSA, Q-Learning and Policy Gradient methods.

Repository for control tasks (RL/Imitation/etc)

An illustration of Reinforcement Learning algorithms with the card game Easy21.

Kpirl Kla ⭐ 7

This repository contains two new algorithms: KPIRL and KLA. KPIRL is a non-linear extension to Abbeel and Ng's Projection IRL algorithm (detailed in "Apprenticeship Learning via Inverse Reinforcement Learning"). KLA is an approximate RL algorithm designed to be used with KPIRL in large state-action spaces without any reward shaping. The algorithms have been published in "Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning."

Reinforcement Learning ⭐ 7

Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.

Common RL framework and utilities.

Rl Agents ⭐ 6

Microtbs Rl ⭐ 6

Training reinforcement learning agents to beat a simple turn-based strategy game

Lab Links ⭐ 6

Links to code and resources for the RLAI lab.

Examples of use of RL agents for several games

Rl_algorithms ⭐ 6

Implementations of different reinforcement learning algorithms

Binarystringrw ⭐ 5

read out binary as string and write binary (string) in files to reduct.

Wegs Drl Baselines ⭐ 5

Minimum viable reinforcement learning algorithms for your educational convenience.

Reinforcement Learning ⭐ 5

Reinforcement learning algorithm implementation

Asynchronous_rl ⭐ 5

Reinforcement Learning ⭐ 5

Implementation of reinforcement learning algorithms with descriptions for beginners.

Simulate, Analyze and Play Roulette with Algorithms

Reinforcement Learning ⭐ 5

Implementation and Notes of different Reinforcement Learning Algorithms

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