May 2020
Intermediate to advanced
576 pages
26h 55m
French
Content preview from Deep Learning avec Keras et TensorFlow
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422
Chapitre 10. Apprentissage par renforcement
10.13 QUELQUES ALGORITHMES RL POPULAIRES
Avant de terminer ce chapitre, passons brièvement en revue quelques algorithmes
d’apprentissage par renforcement populaires :
•
Acteur-critique
Il s’agit d’une famille d’algorithmes RL qui combinent les gradients de
politique et les réseaux Q profonds. Un agent acteur-critique comprend
deux réseaux de neurones
: un réseau de politique et un DQN. Le DQN
est entraîné de manière normale, en apprenant à partir des expériences
de l’agent. Le réseau de politique apprend différemment (et beaucoupplus
rapidement) d’un algorithme PG normal. Au lieu d’estimer la valeur ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.