Dynamic Programming - Reinforcement Learning Chapter 4

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Thanks for watching this series going through the Introduction to Reinforcement Learning book! I think this is the best book for learning RL and hopefully these videos can help shed light on some of the topics as you read through it yourself!
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  1. Connor Shorten
  2. Dynamic Programming
  3. Reinforcement Learning
  4. Deep Reinforcement Learning
  5. Introduction to Reinforcement Learning
  6. Deep Learning
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Комментарии
Автор

Super useful. You should also do for chapters 9++ 😄

rfhp
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I've really enjoyed this series so far. I noticed that you only have 8 videos, do you intend on doing more for the back half of the book? I'd love to see them!

derekboase
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Hi, firstly great series of explaining all the math behind RL intro book! Thank you so much for doing these. May I ask at 4:05, how did you updated the value numbers from K=1 to K=2? E.g for row 1 column 2, how did you update from -1.0 to -1.7? Also do you update all the 16 cells at the same time, or you update one by one (e.g. update row 1 column 2 firstly and then row 1 column 3 because the latter depends on the former cell value).

echoway
Автор

Hi ! could you give the developpemet of how you completed the value-state for each state of the graph at 3:15 ?
I understood it was the bellman equations but my calculs doesn't end up with the right value, and I can't spot my mistake :)
Thanks a lot !

axeldurand