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Deep Learning Approximation
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Classroom Contents
Deep Robust Reinforcement Learning and Regularization
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- 1 Intro
- 2 Classical Reinforcement Learning
- 3 Motivation
- 4 Meaning of robustness
- 5 Three Types of Uncertainties
- 6 Applicability
- 7 Introduction - Planning with Parameter Uncertainty
- 8 Background: Robust MDPS
- 9 Robust Policy Evaluation
- 10 Part 2
- 11 Action Robustness
- 12 Some results
- 13 Posterior Uncertainty Sets: Online Construction of Uncertainty Sets
- 14 Uncertainty Robust Bellman Equation
- 15 Deep Learning Approximation
- 16 Conclusion
