Monte-Carlo & Temporal Difference; Q-learning

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Рецензии

4.2 (оценок: 393)
  • 5 stars
    56.74%
  • 4 stars
    23.91%
  • 3 stars
    8.90%
  • 2 stars
    4.58%
  • 1 star
    5.85%
FZ

Feb 14, 2019

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

Oct 07, 2019

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.

Из урока
Model-free methods
This week we'll find out how to apply last week's ideas to the real world problems: ones where you don't have a perfect model of your environment.

Преподаватели

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    Pavel Shvechikov

    Researcher at HSE and Sberbank AI Lab
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    Alexander Panin

    Lecturer

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