• MATLAB Code (BROKEN LINK)
• C/Lisp Code
• Book
• Python Code
• Julia Code
• Exercise Solutions

Human Computer Interaction

• Pole-Cart Problem
• 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
• Policy Gradient Reinforcement Learning Toolbox for MATLAB
• PIQLE - Platform Implementing Q-Learning and other RL algorithms
• BeliefBox - Bayesian reinforcement learning library and toolkit
• MATLAB Code
• POMDP for Dummies
• MATLAB Software, presentations, and demo videos
• Q-learning Controller
• MATLAB Environment and GUI for Reinforcement Learning
• RL-Glue - Glue Library](http://library.rl-community.org/wiki/Main_Page)
• Reinforcement Learning Environment in Python and MATLAB
• Brown-UMBC Reinforcement Learning and Planning Library (Java)
• Reinforcement Learning in R (MDP, Value Iteration)
• TeachingBox - Java based Reinforcement Learning framework
• Reinforcement Learning Repository - University of Massachusetts, Amherst

Human Computer Interaction

• Reinforcement Learning: A Tutorial
• [Paper
• Reinforcement Learning
• Introduction
• TD-Learning
• Q-Learning and SARSA
• Applet for "Cat and Mouse" Game
• ROS Reinforcement Learning Tutorial
• Reinforcement Learning
• Temporal Difference Learning
• Bibliography on Reinforcement Learning
• 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
• RLenv.directory: Explore and find new reinforcement learning environments.
• RL: Past, Present and Future Perspectives
• Reinforcement Learning Cheat Sheet - A summary of some important concepts and algorithms in RL
• POMDP for Dummies

Lectures

• TD Learning, Sarsa, and Q-Learning
• 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
• 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
• Mutual Information
• Reinforcement Learning: A Six Part Series
• The Bellman Equations, Dynamic Programming, and Generalized Policy Iteration
• Monte Carlo And Off-Policy Methods
• UC Berkeley
• Solving the basic game of Pong
• Introduction to AI for video games
• Monte Carlo Prediction
• Q learning explained
• Actor Critic Algorithms
• War Robots
• Reinforcement Learning: A Six Part Series
• The Bellman Equations, Dynamic Programming, and Generalized Policy Iteration
• Monte Carlo And Off-Policy Methods
• TD Learning, Sarsa, and Q-Learning

Books

• [Book
• [Book - learning-an-introduction)
• [Book
• [Book Chapter
• [Book (Amazon)
• [Book (Amazon)
• [Book(Manning)
• BOOK, VIDEOLECTURES, AND COURSE MATERIAL, 2019

Surveys

• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Book
• [DOI
• [DOI
• [DOI

Papers / Thesis

• [DOI - 11/Comp%203104/Tutor%20Inputs/Session%209%20Prep/Reading%20material/Minsky60steps.pdf) (discusses issues in RL such as the "credit assignment problem")
• [DOI - 0) [[Paper]](http://www.cs.waikato.ac.nz/~ihw/papers/77-IHW-AdaptiveController.pdf) (earliest publication on temporal-difference (TD) learning rule)
• [Thesis
• [Paper
• [Paper
• [Paper
• [Thesis
• [Report
• [Paper
• [Paper-Google Scholar
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [ArXiv
• [ArXiv
• [ArXiv
• [ArXiv
• [DOI - 11/Comp%203104/Tutor%20Inputs/Session%209%20Prep/Reading%20material/Minsky60steps.pdf) (discusses issues in RL such as the "credit assignment problem")

Robotics

• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [ArXiv - c17RKh3uE)] [[Code](https://github.com/resibots/cully_2015_nature)]
• [DOI
• [ArXiv

Game Playing

• [Paper
• [arXiv
• [arXiv
• [DOI - tw3IWgTseRnLpAc9xQq-vTA2Z5Ji9lg16_WvCy4SaOgpK5XXA6ecqo8d8J7l4EJsdjwai53GqKt-7JuioG0r3iV67MQIro74l6IxvmcVNKBgOwiMGi8U0izJStLpmQp6Vmi_8Lw_A%3D%3D) [[Code]](https://sites.google.com/a/deepmind.com/dqn/) [[Video]](https://www.youtube.com/watch?v=iqXKQf2BOSE)
• [Paper
• [DOI - 019-1724-z.epdf) [[Video]](https://deepmind.com/research/open-source/alphastar-resources)

Control

• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper

Operations Research

• [Paper
• [Paper
• [DOI - reinforcement-learning-for-semiconductor-production-scheduling.pdf)
• [DOI - reinforcement-learning-for-semiconductor-production-scheduling.pdf)

Human Computer Interaction

• [Paper

Human Computer Interaction

• DeepMind Lab - A customisable 3D platform for agent-based AI research
• ViZDoom - Doom-based AI research platform for reinforcement learning from raw visual information
• 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.
• BURLAP - Brown-UMBC Reinforcement Learning and Planning, a library written in Java
• Ray RLlib - Ray RLlib is a reinforcement learning library that aims to provide both performance and composability.
• Intel Coach - Coach is a python reinforcement learning research framework containing implementation of many state-of-the-art algorithms.
• Microsoft AirSim - Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research.

Human Computer Interaction

• Real-world demonstrations of Reinforcement Learning
• Deep Q-Learning Demo - A deep Q learning demonstration using ConvNetJS
• Reinforcement Learning Demo - A reinforcement learning demo using reinforcejs by Andrej Karpathy