Reinforcement Learning

Papers

• Playing Atari with Deep Reinforcement Learning

Resources

• Reinforcement Learning An Overview - RL tutorial by Kevin Murphy
• Reinforcement Learning (Data Driven Science & Engineering - Chapter 11) by Steven L. Brunton and J. Nathan Kutz
  • link to PDF on Drive
• ✨ Reinforcement Learning Lecture Series by by Steve Brunton - follows the book chapter above
  • Overview of Deep Reinforcement Learning Methods
  • Model Based Reinforcement Learning: Policy Iteration, Value Iteration, and Dynamic Programming
  • Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning
• DeepMind x UCL | Introduction to Reinforcement Learning 2015 - 10 instalment lecture series by the one and only David Silver
  • Lecture 1: Introduction to Reinforcement Learning
  • Lecture 2: Markov Decision Process
• Reinforcement Learning: An Introduction (2015) by Richard S. Sutton and Andrew G. Barto
  • Webpage
  • References (PDFs)
• OpenAI Spinning Up
• MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL) by Lex Fridman - link

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See also

• Hamilton–Jacobi–Bellman equation
• Richard E. Bellman
• Bellman equation