Examples in Markov Decision Processes (Record no. 97514)

MARC details
000 -LEADER
fixed length control field 04933cam a2200421Mi 4500
001 - CONTROL NUMBER
control field ocn830162389
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240726105342.0
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
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Transcribing agency EBLCP
Modifying agency OCLCO
-- YDXCP
-- NT
-- DEBSZ
-- OCLCQ
-- OCLCF
-- OCLCQ
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781848167940
Qualifying information
050 04 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA274
Item number .E936 2012
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Piunovskiy, A. B.
Relator term Author
245 10 - TITLE STATEMENT
Title Examples in Markov Decision Processes
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Singapore :
Name of publisher, distributor, etc. World Scientific Publishing Company,
Date of publication, distribution, etc. (c)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
347 ## - DIGITAL FILE CHARACTERISTICS
File type data file
Source rda
490 1# - SERIES STATEMENT
Series statement Imperial College Press Optimization Series ;
Volume # v. 2
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographies and index.
505 00 - 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 00 - 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 00 - 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 00 - 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 00 - 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 0# - 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.
530 ## - COPYRIGHT INFORMATION:
COPYRIGHT INFORMATION COPYRIGHT NOT covered - Click this link to request copyright permission:
Uniform Resource Identifier <a href="b">b</a>
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Markov processes.
655 #1 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic Books.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=545467&site=eds-live&custid=s3260518">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=545467&site=eds-live&custid=s3260518</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD)
DONATED BY:
VENDOR EBSCO
Classification part QA.
PUBLICATION YEAR 2012
LOCATION ONLINE
REQUESTED BY:
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Source of classification or shelving scheme
994 ## -
-- 92
-- NT
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN)
a 1
b Cynthia Snell
c 1
d Cynthia Snell
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Uniform Resource Identifier Price effective from Koha item type
        Non-fiction G. Allen Fleece Library G. Allen Fleece Library ONLINE 07/07/2023 EBSCO   QA274.7 ocn830162389 07/07/2023 https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=545467&site=eds-live&custid=s3260518 07/07/2023 Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD)