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UID:508@lincs.fr
DTSTART;TZID=Europe/Paris:20191023T103000
DTEND;TZID=Europe/Paris:20191023T120000
DTSTAMP:20191029T092915Z
URL:https://www.lincs.fr/events/deep-q-learning-from-theory-to-practice/
SUMMARY:Deep Q-Learning: From Theory to Practice
DESCRIPTION:After a brief presentation of Reinforcement Learning in
 general\, I give the theoretical bases for a particular reinforcement
 algorithm\, Q-Learning\, and its neural-network-powered version\, Deep
 Q-Learning. Then I show some difficulties that can be encountered during
 implementation and I suggest solutions to overcome them\, drawn from my
 personal experience.\n\nReference: the slides and videos from David
 Silver's online course on Reinforcement Learning
 (http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html).
CATEGORIES:Network Theory,Working Group
LOCATION:Doctoral Training Center (EIT Digital)\, 23\, avenue d'Italie\,
 Paris\, 75013\, France
GEO:48.8283983;2.3568972000000485
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TZID:Europe/Paris
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DTSTART:20190331T030000
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