A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning

by Nicholas Roy, Thomas J. Walsh, Girish Chowdhary, et al.

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A Markov Decision Process (MDP) is a natural framework for formulating sequential decision-making problems under uncertainty. In recent years, researchers have greatly advanced algorithms for learning... This description may be from another edition of this product.

Format:Paperback

Language:English

ISBN:1601987609

ISBN13:9781601987600

Release Date:December 2013

Publisher:Now Publishers

Length:92 Pages

Weight:0.31 lbs.

Dimensions:0.2" x 6.1" x 9.2"

Related Subjects

Computers Computers & Technology

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A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning

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