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Top 835 reinforcement-learning open source projects

Ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Pytorch Ddpg Naf
Implementation of algorithms for continuous control (DDPG and NAF).
Ml Games
Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.
Awesome Carla
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
Open spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Rl Cheatsheet
RL Notation and Pseudocode for Udacity's MLND program
Train Robot Arm From Scratch
Build environment and train a robot arm from scratch (Reinforcement Learning)
Roboleague
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
Supergo
A student implementation of Alpha Go Zero
Rl learn
我的强化学习笔记和学习材料📖 still updating ... ...
Awesome Real World Rl
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
Pytorch Drl
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Machine Learning Uiuc
🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
Nn
🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Rl Agents
Implementations of Reinforcement Learning and Planning algorithms
Applied Reinforcement Learning
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Gam
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Deeprl Grounding
Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
Ma Gym
A collection of multi agent environments based on OpenAI gym.
Ddpg Aigym
Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments
Pilco
Bayesian Reinforcement Learning in Tensorflow
Ns3 Gym
ns3-gym - The Playground for Reinforcement Learning in Networking Research
Gold
Reinforcement Learning in Go
Icnn
Input Convex Neural Networks
Autodrome
Framework and OpenAI Gym Environment for Autonomous Vehicle Development
Pokerrl
Framework for Multi-Agent Deep Reinforcement Learning in Poker
Awesome Deeplearning Resources
Deep Learning and deep reinforcement learning research papers and some codes
Pytorch Reinforce
PyTorch Implementation of REINFORCE for both discrete & continuous control
Reinforcement Learning An Introduction Chinese
《Reinforcement Learning: An Introduction》(第二版)中文翻译
Pytorch A2c Ppo Acktr Gail
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).
Rl Tutorial Jnrr19
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Rl trading
An environment to high-frequency trading agents under reinforcement learning
Minerva
Meandering In Networks of Entities to Reach Verisimilar Answers
Epg
Code for the paper "Evolved Policy Gradients"
Multihopkg
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
Gym Unrealcv
Unreal environments for reinforcement learning
Papers we read
Summaries of the papers that are discussed by VLG.
Alpha Zero General
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Reinforcement Learning Stanford
🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉
Release
Deep Reinforcement Learning for de-novo Drug Design
Knowledge graph reasoning papers
Must-read papers on knowledge graph reasoning
Amazing Machine Learning Opensource 2019
Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)
My bibliography for research on autonomous driving
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Neural Logic Machines
Implementation for the Neural Logic Machines (NLM).
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