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Reviews

4.2 (406 ratings)
  • 5 stars
    57.38%
  • 4 stars
    23.64%
  • 3 stars
    8.86%
  • 2 stars
    4.43%
  • 1 star
    5.66%
FZ
Feb 13, 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 6, 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.

From the lesson
At the heart of RL: Dynamic Programming
This week we'll consider the reinforcement learning formalisms in a more rigorous, mathematical way. You'll learn how to effectively compute the return your agent gets for a particular action - and how to pick best actions based on that return.

Taught By

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    Pavel Shvechikov

    Researcher at HSE and Sberbank AI Lab
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    Alexander Panin

    Lecturer

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