Statistical Considerations in Reinforcement Learning - Part 1a

Statistical Considerations in Reinforcement Learning - Part 1a

Simons Institute via YouTube Direct link

Introduction

1 of 15

1 of 15

Introduction

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Statistical Considerations in Reinforcement Learning - Part 1a

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  1. 1 Introduction
  2. 2 Background
  3. 3 Example
  4. 4 Inverse Reinforcement Learning
  5. 5 Highstakes problems
  6. 6 Notes on context
  7. 7 Max of Means Problem
  8. 8 Unique Maximizer
  9. 9 Simulation
  10. 10 Uncertainty
  11. 11 Local parameter asymptotics
  12. 12 Natural estimator
  13. 13 Moving parameter asymptotic framework
  14. 14 Projection interval
  15. 15 Conservative estimator

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