10-601 Markov Decision Processes and Reinforcement Learning

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Reinforcement Learning

Taking home message

  • What distinguishes RL from Supervised Learning and Unsupervised Learning?
  • Elements of a Markov Decision Process
  • Both value iteration and policy iteration are standard algorithms for solving MDPs, and there isn't currently universal agreement over which algorithm is better.
  • Q-learning is model-free, and explore the temporal difference