Sequential Decision Making with Evaluative Feedback

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Destrezas que aprenderás

Artificial Intelligence (AI), Machine Learning, Reinforcement Learning, Function Approximation, Intelligent Systems

Revisiones

4.8 (803 calificaciones)
  • 5 stars
    81%
  • 4 stars
    16%
  • 3 stars
    2%
  • 2 stars
    0%
  • 1 star
    0%
AB

Sep 07, 2019

Concepts are bit hard, but it is nice if you undersand it well, espically the bellman and dynamic programming.\n\nSometimes, visualizing the problem is hard, so need to thoroghly get prepared.

RD

Oct 16, 2019

An excellent introduction to the subject of Reinforcement Learning, accompanied by a very clear text book. The python assignments in Jupyter notebooks are both informative and helpful.

De la lección
The K-Armed Bandit Problem

Impartido por:

  • Martha White

    Martha White

    Assistant Professor
  • Adam White

    Adam White

    Assistant Professor

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