May 2020
Intermediate to advanced
576 pages
26h 55m
French
Content preview from Deep Learning avec Keras et TensorFlow
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424
Chapitre 10. Apprentissage par renforcement
Nous avons abordé de nombreux sujets dans ce chapitre : gradients de politique,
chaînes de Markov, processus de décision markoviens, apprentissage Q, appren-
tissage Q par approximation et apprentissage Q profond, ainsi que ses principales
variantes (cibles de la valeur Q xées, DQN double, duel de DQN et rejeu avec
expériences à priorités). Nous avons expliqué comment utiliser TF-Agents de façon
à entraîner des agents à grande échelle, et, pour nir, nous avons décrit brièvement
d’autres algorithmes répandus. L’apprentissage par renforcement est un domaine
vaste et passionnant, avec de nouvelles ...
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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.