Upper-Confidence Bound (UCB) Action Selection

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강의 계획서 보기

배우게 될 기술

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

검토

4.8(1,347개의 평가)
  • 5 stars
    80.84%
  • 4 stars
    15.66%
  • 3 stars
    2.67%
  • 2 stars
    0.29%
  • 1 star
    0.51%
PV

Nov 10, 2019

I understood all the necessary concepts of RL. I've been working on RL for some time now, but thanks to this course, now I have more basic knowledge about RL and can't wait to watch other courses

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.

수업에서
The K-Armed Bandit Problem

강사:

  • Martha White

    Martha White

    Assistant Professor
  • Adam White

    Adam White

    Assistant Professor

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