Footnote: Monte-Carlo vs Temporal Difference

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4.2 (447 calificaciones)

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    4,02 %
  • 1 star
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AK

27 de may. de 2019

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This is one of the Best Course available on Reinforcement Learning. I have gone through various study material but the depth and practical knowledge given in the course is awesome.

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.

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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