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Reinforcement learning and stochastic optimization (Record no. 567473)

000 -LEADER
fixed length control field 01739 a2200217 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119815037
040 ## - CATALOGING SOURCE
Transcribing agency IIT Kanpur
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Item number P871r
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Powell, Warren B.
245 ## - TITLE STATEMENT
Title Reinforcement learning and stochastic optimization
Remainder of title a unified framework for sequential decisions
Statement of responsibility, etc Warren B. Powell
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher John Wiley
Year of publication 2022
Place of publication Hoboken
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxxiv, 1099p
520 ## - SUMMARY, ETC.
Summary, etc "The first step in sequential decision problems is to understand what decisions are being made. It is surprising how often it is that people faced with complex problems, which spans scientists in a lab to people trying to solve major health problems, are not able to identify the decisions they face. We then want to find a method for making decisions. There are at least 45 words in the English language that are equivalent to "method for making a decision," but the one we have settled on is policy. The term policy is very familiar to fields such as Markov decision processes and reinforcement learning, but with a much narrower interpretation than we will use. Other fields do not use the term at all. Designing effective policies will be the focus of most of this book. Even more subtle is identifying the different sources of uncertainty. It can be hard enough trying to identify potential decisions, but thinking about all the random events that might affect whatever it is that you are managing, whether it is reducing disease, managing inventories, or making investments, can seem like a hopeless challenge"
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Reinforcement learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Decision making -- Statistical methods
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Mathematical optimization
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Stochastic analysis
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Permanent Location Current Location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Koha item type
        On Display PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2025-02-17 2 10190.37 006.3 P871r A186802 13587.16 Books

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