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University of Bristol Reinforcement Learning Reading Group

Group reading of Sutton and Barto Oct 2020 - Feb 2021

Slides covering the following chapters:

  • 1&2: Introduction and Multi-armed Bandits
  • 3: Finite Markov Decision Processes
  • 4: Dynamic Programming
  • 5: Monte Carlo Methods
  • 6: Temporal-Difference Learning
  • 7: n-step Bootstrapping
  • 8: Planning and Learning with Tabular Methods
  • 9: On-policy Prediction with Approximation
  • 10: On-policy Control with Approximation
  • 11: Off-policy Methods with Approximation
  • 12: Eligibility Traces
  • 13: Policy Gradient Methods

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