ADSI Summer Workshop: Algorithmic Foundations of Learning and Control - Emma Brunskill

ADSI Summer Workshop: Algorithmic Foundations of Learning and Control - Emma Brunskill

Paul G. Allen School via YouTube Direct link

Quest for Batch Policy Optimization with Generalization Guarantees

14 of 14

14 of 14

Quest for Batch Policy Optimization with Generalization Guarantees

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ADSI Summer Workshop: Algorithmic Foundations of Learning and Control - Emma Brunskill

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  1. 1 Intro
  2. 2 Legacy of Reinforcement Learning to Benefit People
  3. 3 Techniques to Minimize & Understand Data Needed to Learn to Make Good Decisions
  4. 4 Challenge: Covariate Shift Different Policies-- Different Actions - Different State Distributions
  5. 5 Quest: Batch Policy Optimization w/ Generalization Bounds
  6. 6 Recall: Importance Sampling for RL Batch Policy Evaluation
  7. 7 1st Proof of Convergence to a Local Optima for Batch Policy Gradient
  8. 8 Experiment Settings
  9. 9 HIV treatment simulator
  10. 10 Aim: Strong Generalization Guarantees on Policy Performance, Alternative: Guarantee Find Best in Class Policy
  11. 11 Example: Linear Thresholding Policies
  12. 12 An Advantage Decomposition
  13. 13 Advantage Doubly Robust (ADR) Estimator
  14. 14 Quest for Batch Policy Optimization with Generalization Guarantees

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