On the Hardness of Reinforcement Learning With Value-Function Approximation

On the Hardness of Reinforcement Learning With Value-Function Approximation

Simons Institute via YouTube Direct link

Intro

1 of 18

1 of 18

Intro

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On the Hardness of Reinforcement Learning With Value-Function Approximation

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  1. 1 Intro
  2. 2 Reinforcement Learning (RL) Applications
  3. 3 Value-function Approximation
  4. 4 Comparison between SL and RL
  5. 5 Markov Decision Process (MDP)
  6. 6 Batch learning in MDPS
  7. 7 Example: Video game playing
  8. 8 Batch learning in large MDPS
  9. 9 Assumption on data (?)
  10. 10 Assumption on data & MDP dynamics
  11. 11 Algorithm for batch RL
  12. 12 How things go wrong (w/ restricted class)
  13. 13 Fix using a strong assumption ("completeness")
  14. 14 Realizability alone is insufficient?
  15. 15 Proving the conjecture: Attempt 1
  16. 16 Checklist for a plausible construction
  17. 17 Importance of the conjecture
  18. 18 Importance of the construction

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