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).

Grid royale

A life simulation for exploring social dynamics

Awesome Tensorlayer

A curated list of dedicated resources and applications

Reinforcement Learning

Minimal and Clean Reinforcement Learning Examples

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

Football

Check out the new game server:

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)

Learningx

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

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

Learning To Communicate Pytorch

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

Aleph star

Reinforcement learning with A* and a deep heuristic

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

Data Science Free

Free Resources For Data Science created by Shubham Kumar

Deep Rl Trading

playing idealized trading games with deep reinforcement learning

Applied Reinforcement Learning

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Evostra

A fast Evolution Strategy implementation in Python

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.

Catalyst

Accelerated deep learning R&D

✭ 2,804

pythondeep-learningmachine-learningpytorchcomputer-visionnatural-language-processingreinforcement-learningimage-processingobject-detectionresearchimage-classificationtext-classificationinfrastructurerecommender-systemimage-segmentationdistributed-computinginformation-retrievalreproducibilitymetric-learningtext-segmentationDdpg Aigym

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

Machine Learning Notebooks

Machine Learning notebooks for refreshing concepts.

Pilco

Bayesian Reinforcement Learning in Tensorflow

Ns3 Gym

ns3-gym - The Playground for Reinforcement Learning in Networking Research

Autodrome

Framework and OpenAI Gym Environment for Autonomous Vehicle Development

Pokerrl

Framework for Multi-Agent Deep Reinforcement Learning in Poker

Reco Papers

Classic papers and resources on recommendation

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

Gymfc

A universal flight control tuning framework

Alphazero gomoku

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

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

✭ 201

reinforcement-learningAmazing 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).