Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

awesome-rl

Reinforcement learning resources curated
https://github.com/eric-erki/awesome-rl

pull requests
Python Code
MATLAB Code
C/Lisp Code
Book
Pole-Cart Problem
Q-learning Controller
MATLAB Environment and GUI for Reinforcement Learning
Reinforcement Learning Repository - University of Massachusetts, Amherst
Brown-UMBC Reinforcement Learning and Planning Library (Java)
Reinforcement Learning in R (MDP, Value Iteration)
Reinforcement Learning Environment in Python and MATLAB
RL-Glue - Glue Library](http://library.rl-community.org/wiki/Main_Page)
PyBrain Library - Python-Based Reinforcement learning, Artificial intelligence, and Neural network
RLPy Framework - Value-Function-Based Reinforcement Learning Framework for Education and Research
Maja - Machine learning framework for problems in Reinforcement Learning in python
TeachingBox - Java based Reinforcement Learning framework
Policy Gradient Reinforcement Learning Toolbox for MATLAB
PIQLE - Platform Implementing Q-Learning and other RL algorithms
BeliefBox - Bayesian reinforcement learning library and toolkit
Deep Q-Learning with TensorFlow - A deep Q learning demonstration using Google Tensorflow
Atari - Deep Q-networks and asynchronous agents in Torch
AgentNet - A python library for deep reinforcement learning and custom recurrent networks using Theano+Lasagne.
Reinforcement Learning Examples by RLCode - A Collection of minimal and clean reinforcement learning examples
OpenAI Baselines - Well tested implementations ([and results](https://github.com/openai/baselines-results)) of reinforcement learning algorithms from OpenAI
PyTorch Deep RL - Popular deep RL algorithm implementations with PyTorch
ChainerRL - Popular deep RL algorithm implementations with Chainer
Black-DROPS - Modular and generic code for the model-based policy search Black-DROPS algorithm (IROS 2017 paper) and easy integration with the [DART](http://dartsim.github.io/) simulator
UCL
Lecture 8: Markov Decision Processes 1
Lecture 9: Markov Decision Processes 2
Lecture 10: Reinforcement Learning 1
Lecture 11: Reinforcement Learning 2
Udacity (Georgia Tech.)
Stanford
UC Berkeley
UC Berkeley
CMU
MIT
Lecture 2: Deep Reinforcement Learning for Motion Planning
Introduction to AI for video games
Monte Carlo Prediction
Q learning explained
Solving the basic game of Pong
Actor Critic Algorithms
War Robots
[Book
[Book - learning-an-introduction)
[Book
[Book Chapter
[Book (Amazon)
[Book (Amazon)
[Book(Manning)
[Paper
[Paper
[Paper
[Paper
[Paper
[Book
[Paper
[Paper
[Paper - difference (TD) learning rule)
[Thesis
[Paper
[Paper
[Paper
[Thesis
[Report
[Paper
[Paper-Google Scholar
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
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[Paper
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[Paper
[ArXiv
[ArXiv
[ArXiv
[ArXiv
[Paper
[arXiv
[arXiv
[Paper
Flappy Bird Reinforcement Learning
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper - c17RKh3uE)] [[Code](https://github.com/resibots/cully_2015_nature)]
[Paper
[Paper
[Paper
[Paper
[Paper
[Paper
Reinforcement Learning: A Tutorial
[Paper
Reinforcement Learning
Introduction
TD-Learning
Q-Learning and SARSA
Applet for "Cat and Mouse" Game
ROS Reinforcement Learning Tutorial
POMDP for Dummies
Reinforcement Learning
Temporal Difference Learning
MATLAB Software, presentations, and demo videos
Bibliography on Reinforcement Learning
[Class Website
Blog posts on Reinforcement Learning, Parts 1-4
The Arcade Learning Environment - Atari 2600 games environment for developing AI agents
Deep Reinforcement Learning: Pong from Pixels
Demystifying Deep Reinforcement Learning
Let’s make a DQN
Simple Reinforcement Learning with Tensorflow, Parts 0-8
Practical_RL - github-based course in reinforcement learning in the wild (lectures, coding labs, projects)
RLenv.directory: Explore and find new reinforcement learning environments.
Real-world demonstrations of Reinforcement Learning
Deep Q-Learning Demo - A deep Q learning demonstration using ConvNetJS
Deep Q-Learning with Tensor Flow - A deep Q learning demonstration using Google Tensorflow
Reinforcement Learning Demo - A reinforcement learning demo using reinforcejs by Andrej Karpathy
OpenAI gym - A toolkit for developing and comparing reinforcement learning algorithms
OpenAI universe - A software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications
DeepMind Lab - A customisable 3D platform for agent-based AI research
Project Malmo - A platform for Artificial Intelligence experimentation and research built on top of Minecraft by Microsoft
ViZDoom - Doom-based AI research platform for reinforcement learning from raw visual information
Retro Learning Environment - An AI platform for reinforcement learning based on video game emulators. Currently supports SNES and Sega Genesis. Compatible with OpenAI gym.
torch-twrl - A package that enables reinforcement learning in Torch by Twitter
UETorch - A Torch plugin for Unreal Engine 4 by Facebook
TorchCraft - Connecting Torch to StarCraft
rllab - A framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym
TensorForce - Practical deep reinforcement learning on TensorFlow with Gitter support and OpenAI Gym/Universe/DeepMind Lab integration.
tf-TRFL - A library built on top of TensorFlow that exposes several useful building blocks for implementing Reinforcement Learning agents.
OpenAI lab - An experimentation system for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
keras-rl - State-of-the art deep reinforcement learning algorithms in Keras designed for compatibility with OpenAI.
BURLAP - Brown-UMBC Reinforcement Learning and Planning, a library written in Java
MAgent - A Platform for Many-agent Reinforcement Learning.
Ray RLlib - Ray RLlib is a reinforcement learning library that aims to provide both performance and composability.
SLM Lab - A research framework for Deep Reinforcement Learning using Unity, OpenAI Gym, PyTorch, Tensorflow.
Unity ML Agents - Create reinforcement learning environments using the Unity Editor
Intel Coach - Coach is a python reinforcement learning research framework containing implementation of many state-of-the-art algorithms.

Programming Languages

Python 11 C++ 3 C# 1 Java 1 Jupyter Notebook 1 JavaScript 1 Lua 1

Keywords

reinforcement-learning 12 deep-learning 8 deep-reinforcement-learning 7 machine-learning 6 dqn 5 pytorch 3 policy-gradient 3 actor-critic 3 ppo 2 ddpg 2 a2c 2 keras 2 tensorflow 2 a3c 2 deep-q-network 1 theano 1 qlearning 1 opeani-gym 1 lasagne 1 framework 1 categorical-dqn 1 deep-neural-networks 1 deeprl 1 double-dqn 1 dueling-network-architecture 1 option-critic 1 option-critic-architecture 1 binder 1 artificial-intelligence 1 unity3d 1 unity 1 neural-networks 1 sac 1 benchmark 1 multi-agent 1 openai 1 experiment 1 torchcraft 1 torch 1 starcraft 1 bwapi 1 machine 1 game-engine 1 pytorch-tutorials 1 mooc 1 git-course 1 course-materials 1 flappy-bird 1 python 1 chainer 1