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Title: An Introduction to Deep Reinforcement Learning
By: Emmanuel Rachelson, ISAE-SUPAERO.
Abstract: Deep Reinforcement Learning has become a hot topic over the recent years. This talk is designed for those who want to discover the topic from a rigorous (yet illustrative) point of view. Here is a tentative outline :
+Introduction [target duration : 5 minutes],
+Deep RL is RL, but deep. So we need an overview of RL foundations [target duration : 20 minutes],
+Deep Q-networks [target duration : 10 minutes],
+Towards the state of the art / hot topics [target duration : 10 minutes].
Location: UPS amphi 1R3-Schwartz
Note: These introductory lectures, organized by IMT and the AOC group, are directed to an audience of deep learning beginners *with an already solid mathematical background*.
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