Reinforcement Learning

Reinforcement Learning

MITCBMM via YouTube Direct link

Intro

1 of 17

1 of 17

Intro

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Classroom Contents

Reinforcement Learning

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  1. 1 Intro
  2. 2 Pavlovian conditioning
  3. 3 Associative learning theory
  4. 4 Examples
  5. 5 Probabilistic interpretation
  6. 6 What's missing?
  7. 7 The Kalman filter
  8. 8 Some intuitions
  9. 9 Backward blocking
  10. 10 Modeling recovery phenomena
  11. 11 Sequential decision problems
  12. 12 Long-term reward prediction
  13. 13 Prediction errors
  14. 14 Temporal difference learning
  15. 15 Stimulus representation
  16. 16 Behavioral implications of TD
  17. 17 Dopamine

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