Table of Contents

• Free Books

  • Reinforcement Learning: An Introduction 1st Ed by Richard Sutton and Andrew Barto
  • Reinforcement Learning: An Introduction 2nd Edition, in progress by Richard Sutton and Andrew Barto
  • Algorithms for Reinforcement Learning by Csaba Szepesvari
  • Artificial Intelligence: Foundations of Computational Agents by David Poole and Alan Mackworth
  • Algorithms for Reinforcement Learning by Csaba Szepesvari

• Courses

  • 10703: Deep Reinforcement Learning and Control, Spring 2017
  • Reinforcement Learning
  • Practical Reinforcement Learning
  • Reinforcement Learning Explained
  • Reinforcement Learning
  • Practical Reinforcement Learning

• Videos and Lectures

  • COMPM050/COMPGI13 Reinforcement Learning
  • CS294 Deep Reinforcement Learning
  • CS229 Machine Learning - Lecture 16: Reinforcement Learning
  • Deep RL Bootcamp
  • Lecture 2: Deep Reinforcement Learning for Motion Planning
  • Lecture 8: Markov Decision Processes 1
  • Lecture 9: Markov Decision Processes 2
  • Lecture 10: Reinforcement Learning 1
  • Lecture 11: Reinforcement Learning 2
  • MIT 6.S191: Reinforcement Learning

• Papers

  • Generalization in Reinforcement Learning: Successful examples using sparse coding, Richard S. Sutton
  • Learning from Delayed Rewards, Christopher J. C. H. Watkins
  • Learning to predict by the methods of temporal differences, Richard S. Sutton
  • Learning from Delayed Rewards, Cambridge, Chris Watkins
  • Monte Carlo Inversion and Reinforcement Learning, Andrew Barto, Michael Duff
  • Reinforcement Learning with Replacing Eligibility Traces, Machine Learning, Satinder P. Singh, Richard S. Sutton
  • Learning from Delayed Rewards, Cambridge, Chris Watkins

• Tutorials

  • Reinforcement Learning
  • Reinforcement Learning Tutorial
  • Simple Reinforcement Learning with Tensorflow Part 4: Deep Q-Networks and Beyond
  • Let’s make a DQN: Implementation

• Libraries

  • OpenAI gym
  • RL-Library
  • Deep Mind Lab
  • OpenAI Retro
  • RL Lab

• Sample Code

  • Reinforcement Learning: An Introduction (2nd Edition)