Examples in Markov Decision Processes. (Record no. 703004)

MARC details
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001 - CONTROL NUMBER
control field ocn830162389
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240925133907.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu---unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130316s2012 si o 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EBLCP
Language of cataloging eng
Description conventions pn
Transcribing agency EBLCP
Modifying agency OCLCO
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-- OCLCQ
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019 ## -
-- 1086964971
-- 1264885637
-- 1264926938
-- 1297132851
-- 1297267500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781848167940
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1848167946
Qualifying information (electronic bk.)
035 ## - SYSTEM CONTROL NUMBER
System control number 545467
-- (N$T)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)830162389
Canceled/invalid control number (OCoLC)1086964971
-- (OCoLC)1264885637
-- (OCoLC)1264926938
-- (OCoLC)1297132851
-- (OCoLC)1297267500
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA274.7
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT
Subject category code subdivision 029040
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.233
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Piunovskiy, A. B.
9 (RLIN) 678571
245 10 - TITLE STATEMENT
Title Examples in Markov Decision Processes.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Singapore :
Name of publisher, distributor, etc. World Scientific Publishing Company,
Date of publication, distribution, etc. 2012.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (308 pages)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Imperial College Press Optimization Series ;
Volume/sequential designation v. 2
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Print version record.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Preface; 1. Finite-Horizon Models; 1.1 Preliminaries; 1.2 Model Description; 1.3 Dynamic Programming Approach; 1.4 Examples; 1.4.1 Non-transitivity of the correlation; 1.4.2 The more frequently used control is not better; 1.4.3 Voting; 1.4.4 The secretary problem; 1.4.5 Constrained optimization; 1.4.6 Equivalent Markov selectors in non-atomic MDPs; 1.4.7 Strongly equivalent Markov selectors in nonatomic MDPs; 1.4.8 Stock exchange; 1.4.9 Markov or non-Markov strategy? Randomized or not? When is the Bellman principle violated?; 1.4.10 Uniformly optimal, but not optimal strategy.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 1.4.11 Martingales and the Bellman principle1.4.12 Conventions on expectation and infinities; 1.4.13 Nowhere-differentiable function vt(x); discontinuous function vt(x); 1.4.14 The non-measurable Bellman function; 1.4.15 No one strategy is uniformly -optimal; 1.4.16 Semi-continuous model; 2. Homogeneous Infinite-Horizon Models: Expected Total Loss; 2.1 Homogeneous Non-discounted Model; 2.2 Examples; 2.2.1 Mixed Strategies; 2.2.2 Multiple solutions to the optimality equation; 2.2.3 Finite model: multiple solutions to the optimality equation; conserving but not equalizing strategy.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2.2.4 The single conserving strategy is not equalizing and not optimal2.2.5 When strategy iteration is not successful; 2.2.6 When value iteration is not successful; 2.2.7 When value iteration is not successful: positive model I; 2.2.8 When value iteration is not successful: positive model II; 2.2.9 Value iteration and stability in optimal stopping problems; 2.2.10 A non-equalizing strategy is uniformly optimal; 2.2.11 A stationary uniformly -optimal selector does not exist (positive model); 2.2.12 A stationary uniformly -optimal selector does not exist (negative model).
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2.2.13 Finite-action negative model where a stationary uniformly -optimal selector does not exist2.2.14 Nearly uniformly optimal selectors in negative models; 2.2.15 Semi-continuous models and the blackmailer's dilemma; 2.2.16 Not a semi-continuous model; 2.2.17 The Bellman function is non-measurable and no one strategy is uniformly -optimal; 2.2.18 A randomized strategy is better than any selector (finite action space); 2.2.19 The fluid approximation does not work; 2.2.20 The fluid approximation: refined model; 2.2.21 Occupation measures: phantom solutions.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2.2.22 Occupation measures in transient models2.2.23 Occupation measures and duality; 2.2.24 Occupation measures: compactness; 2.2.25 The bold strategy in gambling is not optimal (house limit); 2.2.26 The bold strategy in gambling is not optimal (inflation); 2.2.27 Search strategy for a moving target; 2.2.28 The three-way duel ("Truel"); 3. Homogeneous Infinite-Horizon Models: Discounted Loss; 3.1 Preliminaries; 3.2 Examples; 3.2.1 Phantom solutions of the optimality equation; 3.2.2 When value iteration is not successful: positive model.
500 ## - GENERAL NOTE
General note 3.2.3 A non-optimal strategy for which v x solves the optimality equation.
520 ## - SUMMARY, ETC.
Summary, etc. This invaluable book provides approximately eighty examples illustrating the theory of controlled discrete-time Markov processes. Except for applications of the theory to real-life problems like stock exchange, queues, gambling, optimal search etc, the main attention is paid to counter-intuitive, unexpected properties of optimization problems. Such examples illustrate the importance of conditions imposed in the theorems on Markov Decision Processes. Many of the examples are based upon examples published earlier in journal articles or textbooks while several other examples are new. The aim was.
590 ## - LOCAL NOTE (RLIN)
Local note Added to collection customer.56279.3
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Markov processes.
9 (RLIN) 4962
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Processus de Markov.
9 (RLIN) 78421
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MATHEMATICS
General subdivision Probability & Statistics
-- Stochastic Processes.
Source of heading or term bisacsh
9 (RLIN) 4361
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Markov processes
Source of heading or term fast
9 (RLIN) 4962
758 ## -
-- has work:
-- Examples in Markov decision processes (Text)
-- https://id.oclc.org/worldcat/entity/E39PD36JPqF83j9v37dcp6YMRq
-- https://id.oclc.org/worldcat/ontology/hasWork
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Piunovskiy, A.B.
Title Examples in Markov Decision Processes.
Place, publisher, and date of publication Singapore : World Scientific Publishing Company, ©2012
International Standard Book Number 9781848167933
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Imperial College Press optimization series.
9 (RLIN) 510592
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified EBSCOhost
Uniform Resource Identifier <a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=545467">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=545467</a>
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-- Askews and Holts Library Services
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938 ## -
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-- EBL1143323
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938 ## -
-- YBP Library Services
-- YANK
-- 10258426
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-- 92
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Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
  Not Lost     EBSCO Mathematics e-Library e-Library 25/09/2024   25/09/2024 25/09/2024 eBook

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