Planning with Markov Decision Processes: An AI Perspective
Author:   Mausam ,  Andrey Kolobov
Publisher:   Springer International Publishing AG
ISBN:  

9783031004315


Pages:   194
Publication Date:   03 July 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Planning with Markov Decision Processes: An AI Perspective


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Author:   Mausam ,  Andrey Kolobov
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Weight:   0.408kg
ISBN:  

9783031004315


ISBN 10:   3031004310
Pages:   194
Publication Date:   03 July 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.
Language:   English

Table of Contents

Introduction.- MDPs.- Fundamental Algorithms.- Heuristic Search Algorithms.- Symbolic Algorithms.- Approximation Algorithms.- Advanced Notes.

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Author Information

Mausam is a Research Assistant Professor at the Turing Center in the Department of Computer Science at the University of Washington, Seattle. His research interests span various sub-fields of artificial intelligence, including sequential decision making under uncertainty, large scale natural language processing, Web information systems, heuristic search, machine learning, and AI applications to crowd-sourcing. Mausam obtained a Ph.D. from University of Washington in 2007 and a Bachelor of Technology from IIT Delhi in 2001. His PhD thesis was awarded honorable mention for the 2008 ICAPS Best Dissertation Award. Mausam has written scores of papers in top AI conferences and journals. He has served on the senior program committees of AI conferences such as AAAI and IJCAI, program committees of several other conferences, and on NSF panels.    

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