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<図書>
Markov decision processes with their applications

責任表示 by Qiying Hu, Wuyi Yue
シリーズ Advances in mechanics and mathematics / edited by David Y. Gao and Ray W. Ogden ; v. 14
データ種別 図書
出版情報 New York : Springer , c2008
本文言語 英語
大きさ xiv, 297 p. : ill. ; 25 cm
概要 Markov decision processes (MDPs), also called stochastic dynamic programming, were first studied in the 1960s. MDPs can be used to model and solve dynamic decisionmaking problems that are multi-period...and occur in stochastic circumstances. There are three basic branches in MDPs: discrete-time MDPs, continuous-time MDPs and semi-Markov decision processes. Starting from these three branches, many generalized MDPs models have been applied to various practical problems. These models include partially observable MDPs, adaptive MDPs, MDPs in stochastic environments, and MDPs with multiple objectives, constraints or imprecise parameters.続きを見る
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所蔵情報



理系図3F 数理独自 HU,/12/1 2008
023212007006353

書誌詳細

一般注記 Includes bibliographical references and index
著者標目 *Hu, Qiying
Yue, Wuyi
件 名 LCSH:Markov processes
LCSH:Statistical decision
LCSH:Discrete-time systems -- Mathematical models  全ての件名で検索
分 類 LCC:QA274.7
DC22:519.233
書誌ID 1001242660
ISBN 9780387369501
NCID BA84511899
巻冊次 ISBN:9780387369501
NBN GBA691988
登録日 2009.09.18
更新日 2017.02.18

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