Regret: measuring the quality of exploration

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Reseñas

4.2 (411 calificaciones)
  • 5 stars
    57.42%
  • 4 stars
    23.35%
  • 3 stars
    9.24%
  • 2 stars
    4.37%
  • 1 star
    5.59%
FZ
13 de feb. de 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
6 de oct. de 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.

De la lección
Exploration
In this final week you'll learn how to build better exploration strategies with a focus on contextual bandit setup. In honor track, you'll also learn how to apply reinforcement learning to train structured deep learning models.

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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