Outline

• Logistics

• Review

• Wrapper Induction

  • LR & HLRT Biases
  • Sample Complexity (Theory, Practice)
  • Recognizer Corroboration

• Reinforcement Learning

  • Markov Decision Processes
  • Value Iteration & Policy Iteration
  • Q Learning of MDP Models from Behavioral Critiques

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