Model-based vs model-free

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Reseñas

4.2 (443 calificaciones)

  • 5 stars
    58,23 %
  • 4 stars
    23,25 %
  • 3 stars
    8,80 %
  • 2 stars
    4,06 %
  • 1 star
    5,64 %

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.

FZ

13 de feb. de 2019

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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.

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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