Recap: bandits

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강의 계획서 보기

검토

4.2개(439개 평가)

  • 5 stars
    58.08%
  • 4 stars
    23.23%
  • 3 stars
    8.88%
  • 2 stars
    4.10%
  • 1 star
    5.69%

FZ

2019년 2월 13일

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A great course with very practical assignments to help you learn how to implement RL algorithms. But it also has some stupid quiz questions which makes you feel confusing.

LJ

2019년 10월 6일

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Challenging (unlike many other courses on Coursera, it does not baby you and does not seem to be targeting as high a pass rate as possible), but very very rewarding.

수업에서

Exploration

In this final week you'll learn how to build better exploration strategies with a focus on contextual bandit setup. In honor track, you'll also learn how to apply reinforcement learning to train structured deep learning models.

강사:

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    Pavel Shvechikov

    Researcher at HSE and Sberbank AI Lab

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    Alexander Panin

    Lecturer

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