Adaptive Representations for Reinforcement Learning

This book presents new algorithms for reinforcement learning, a form of machine learning in which an autonomous agent seeks a control policy for a sequential decision task. Since current methods typically rely on manually designed solution representations, agents that automatically adapt their own r...

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Bibliographic Details
Main Author: Whiteson, Shimon (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Series:Studies in Computational Intelligence, 291
Subjects:
Online Access:Full Text via HEAL-Link
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by Whiteson, Shimon
Published 2010
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