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Handbook of Markov Decision Processes - Methods and Applications (Paperback, Softcover reprint of the original 1st ed. 2002) Loot Price: R10,551
Discovery Miles 105 510
Handbook of Markov Decision Processes - Methods and Applications (Paperback, Softcover reprint of the original 1st ed. 2002):...

Handbook of Markov Decision Processes - Methods and Applications (Paperback, Softcover reprint of the original 1st ed. 2002)

Eugene A. Feinberg, Adam Shwartz

Series: International Series in Operations Research & Management Science, 40

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Loot Price R10,551 Discovery Miles 105 510 | Repayment Terms: R989 pm x 12*

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Eugene A. Feinberg Adam Shwartz This volume deals with the theory of Markov Decision Processes (MDPs) and their applications. Each chapter was written by a leading expert in the re spective area. The papers cover major research areas and methodologies, and discuss open questions and future research directions. The papers can be read independently, with the basic notation and concepts ofSection 1.2. Most chap ters should be accessible by graduate or advanced undergraduate students in fields of operations research, electrical engineering, and computer science. 1.1 AN OVERVIEW OF MARKOV DECISION PROCESSES The theory of Markov Decision Processes-also known under several other names including sequential stochastic optimization, discrete-time stochastic control, and stochastic dynamic programming-studiessequential optimization ofdiscrete time stochastic systems. The basic object is a discrete-time stochas tic system whose transition mechanism can be controlled over time. Each control policy defines the stochastic process and values of objective functions associated with this process. The goal is to select a "good" control policy. In real life, decisions that humans and computers make on all levels usually have two types ofimpacts: (i) they cost orsavetime, money, or other resources, or they bring revenues, as well as (ii) they have an impact on the future, by influencing the dynamics. In many situations, decisions with the largest immediate profit may not be good in view offuture events. MDPs model this paradigm and provide results on the structure and existence of good policies and on methods for their calculation."

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: International Series in Operations Research & Management Science, 40
Release date: March 2013
First published: 2002
Editors: Eugene A. Feinberg • Adam Shwartz
Dimensions: 235 x 155 x 29mm (L x W x T)
Format: Paperback
Pages: 565
Edition: Softcover reprint of the original 1st ed. 2002
ISBN-13: 978-1-4613-5248-8
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations
Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General
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LSN: 1-4613-5248-7
Barcode: 9781461352488

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