Batch Offline Reinforcement Learning - Part 1

Batch Offline Reinforcement Learning - Part 1

Simons Institute via YouTube Direct link

Common Assumptions

11 of 18

11 of 18

Common Assumptions

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Batch Offline Reinforcement Learning - Part 1

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  1. 1 Introduction
  2. 2 Reinforcement Learning
  3. 3 Theoretical Questions
  4. 4 Notation
  5. 5 Outline
  6. 6 What if
  7. 7 Generalisation
  8. 8 Covariate Shift
  9. 9 Value Error
  10. 10 Common Tasks
  11. 11 Common Assumptions
  12. 12 Evaluation Criteria
  13. 13 Discussion Question
  14. 14 Important Sampling
  15. 15 Is this a form of wishful thinking
  16. 16 Unbiased policy estimates
  17. 17 Models
  18. 18 doubly robust estimators

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