This talk on Reinforcement Learning in Games was held on Friday October 21, 2016 in MC 4020. The talk was given by Agastya Kalra.



  • What is supervised machine learning?

  • What is the reinforcement learning problem?

  • Examples: Deepmind Atari, Alpha GO, TD Gammon

  • Basic Q Learning interactive intuition based on human brain

  • Formalizing Q Learning

  • Lets set up a problem

  • Scaling Q Learning interactive intuition

  • Improvements (if we get this far) Double Q Intuition, Experience Replay, Frozen Model, Prioritized Replay