Monte-Carlo & Temporal Difference; Q-learning

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Reseñas

4.2 (452 calificaciones)

  • 5 stars
    58,40 %
  • 4 stars
    23,23 %
  • 3 stars
    8,62 %
  • 2 stars
    3,98 %
  • 1 star
    5,75 %

SF

8 de abr. de 2020

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At times it felt like a bit more video material would be helpful to better understand the subject/gain deeper understanding.\n\nAnd fixing some of the notebooks would be helpful.

LJ

6 de oct. de 2019

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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.

De la lección

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.

Impartido por:

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    Pavel Shvechikov

    Researcher at HSE and Sberbank AI Lab

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    Alexander Panin

    Lecturer

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