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Marin Bukov edited this page Nov 20, 2016 · 8 revisions

potential problems of the algorithm

  1. RL state does not know about physical state: trajectory loops potentially dangerous for convergence
  2. Replays/Forced Learning induce overfitting: non-best (s,a) pairs also updated thru the tilings. This would not occur in a tabular algorithm but this is also the main reason why tabular methods learn slower.
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