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