Reinforcement Learning

Reinforcement Learning

Simons Institute via YouTube Direct link

Intro

1 of 17

1 of 17

Intro

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Reinforcement Learning

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  1. 1 Intro
  2. 2 Birds-eye view of RL
  3. 3 Illustrative application: RL in personal health
  4. 4 General thrust
  5. 5 Direction: Exploiting structure in RL
  6. 6 Vignette: Q-learning with low rank structure
  7. 7 Vignette: Model-free versus model-based method
  8. 8 Estimate dynamics or value functions for LQR? - Linear state space model with quadratic reward function
  9. 9 Performance of LSTD versus model-based metho
  10. 10 Direction: Exploration/exploitation beyond bandi
  11. 11 Vignette: Q-learning with UCB
  12. 12 Vignette: UCB and Monte Carlo Tree Search
  13. 13 Direction: From worst-case to instance-optimalit
  14. 14 Vignette: Instance-optimality of TD learning?
  15. 15 Instance-optimality in policy evaluation
  16. 16 Direction: RL in offline settings and causal inferen
  17. 17 Some future directions exploiting methods from cal inferences instrumental variables propensity score, doubly robust methods, synthetic controls

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