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470 search results found

Spinningup ⭐ 9,367

An educational resource to help anyone learn deep reinforcement learning.

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.

Financial Machine Learning ⭐ 5,277

A curated list of practical financial machine learning tools and applications.

Agents ⭐ 2,658

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Deep Reinforcement Learning Hands On ⭐ 2,527

Hands-on Deep Reinforcement Learning, published by Packt

Alphazero_gomoku ⭐ 2,427

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Minimalrl ⭐ 2,417

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

Muzero General ⭐ 2,203

Garage ⭐ 1,677

A toolkit for reproducible reinforcement learning research.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Rl Baselines3 Zoo ⭐ 1,640

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Bsuite ⭐ 1,410

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

Noreward Rl ⭐ 1,315

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

D3rlpy ⭐ 1,149

An offline deep reinforcement learning library

SMAC: The StarCraft Multi-Agent Challenge

Scalable Multi-Agent RL Training School for Autonomous Driving

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Seed_rl ⭐ 755

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

Scalable_agent ⭐ 746

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

Sample Factory ⭐ 692

High throughput synchronous and asynchronous reinforcement learning

Pytorch Maml Rl ⭐ 645

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

Rlseq2seq ⭐ 610

Deep Reinforcement Learning For Sequence to Sequence Models

Hanabi Learning Environment ⭐ 597

hanabi_learning_environment is a research platform for Hanabi experiments.

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Torchbeast ⭐ 560

A PyTorch Platform for Distributed RL

Sumo Rl ⭐ 545

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

Awesome Monte Carlo Tree Search Papers ⭐ 537

A curated list of Monte Carlo tree search papers with implementations.

Tensorflow Reinforce ⭐ 477

Implementations of Reinforcement Learning Models in Tensorflow

Robotics Rl Srl ⭐ 455

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

A Configurable Recommender Systems Simulation Platform

Rl Tutorial Jnrr19 ⭐ 442

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

Ppo For Beginners ⭐ 427

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-w

Furniture ⭐ 418

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

Irl Imitation ⭐ 412

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

TensorFlow2 Reinforcement Learning

Papers In 100 Lines Of Code ⭐ 395

Implementation of papers in 100 lines of code.

Citylearn ⭐ 392

Official reinforcement learning environment for demand response and load shaping

Stable Baselines3 Contrib ⭐ 384

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

Reinforcement Implementation ⭐ 380

Implementation of benchmark RL algorithms

Maml_rl ⭐ 379

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

DrQ: Data regularized Q

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

Rl Book ⭐ 362

Snake Ga ⭐ 360

AI Agent that learns how to play Snake with Deep Q-Learning

Pytorch Rl ⭐ 356

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

Deep_rl_trader ⭐ 337

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

Machine Learning Is All You Need ⭐ 337

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Openai_lab ⭐ 314

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

Reinforced Recommendation toolkit build around pytorch 1.7

Tonic RL library

Reinforcement Learning Stanford ⭐ 283

🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉

Deep Rl ⭐ 270

Collection of Deep Reinforcement Learning algorithms

Lets Do Irl ⭐ 269

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

Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym

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.

Neural Combinatorial Rl Pytorch ⭐ 257

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

Reinforcement_learning ⭐ 250

Reinforcement learning tutorials

A universal flight control tuning framework

Rlcycle ⭐ 242

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Simple_rl ⭐ 224

A simple framework for experimenting with Reinforcement Learning in Python.

Macad Gym ⭐ 224

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

Stable Baselines ⭐ 221

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

Input Convex Neural Networks

Dqn Chainer ⭐ 198

Trading Rl ⭐ 195

Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019

Gym Gazebo2 ⭐ 193

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Reinforcement learning algorithms for MuJoCo tasks

A PyTorch Library for Reinforcement Learning Research

Learning To Communicate Pytorch ⭐ 187

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Tf_deep_rl_trader ⭐ 186

Trading Environment(OpenAI Gym) + PPO(TensorForce)

Morl Baselines ⭐ 185

Multi-Objective Reinforcement Learning algorithms implementations.

AI research environment for the Atari 2600 games 🤖.

Rl_trading ⭐ 181

An environment to high-frequency trading agents under reinforcement learning

Kb Infobot ⭐ 174

A dialogue bot for information access

Tensorflow Rl ⭐ 173

Implementations of deep RL papers and random experimentation

A collection of python Machine Learning articles and examples. You will find code related to Reinforcement Learning, Q Learning, MDP, Bellman, OpenAI solutions and others. You can watch our agents here http://bit.ly/2Ayj4vA

ProMP: Proximal Meta-Policy Search

Spinning Up Basic ⭐ 164

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

Text Summarizer Pytorch ⭐ 161

Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network

Atari Reset ⭐ 156

Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"

H Baselines ⭐ 154

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

Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020

Baby A3c ⭐ 153

A high-performance Atari A3C agent in 180 lines of PyTorch

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

Reinforcement_learning ⭐ 149

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

《Web安全之强化学习与GAN》

Reinforcement Learning for Neural Machine Translation

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.

Programmable Engine for Drone Reinforcement Learning Applications

Deepreinforcementlearningthatmatters ⭐ 137

Accompanying code for "Deep Reinforcement Learning that Matters"

Tradzqai ⭐ 136

Trading environnement for RL agents, backtesting and training.

Multitask And Transfer Learning ⭐ 134

Benchmark and build RL architectures that can do multitask and transfer learning.

Rl_carla ⭐ 133

Use Reinforcement Learning to train an autonomous driving agent in CARLA Simulator

Firedup ⭐ 129

Clone of OpenAI's Spinning Up in PyTorch

Mvfst Rl ⭐ 125

An asynchronous RL platform for congestion control in QUIC transport protocol. https://arxiv.org/abs/1910.04054.

Python Reinforcement Learning Projects ⭐ 122

Python Reinforcement Learning Projects, published by Packt

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