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Reinforcement learning (Record no. 560554)

MARC details
000 -LEADER
fixed length control field 02279 a2200253 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20191014121806.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191010b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783642276446
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 006.31
Item number R275
245 ## - TITLE STATEMENT
Title Reinforcement learning
Remainder of title state-of-the-art
Statement of responsibility, etc edited by Marco Wiering and Martijn van Otterlo
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Berlin
Name of publisher Springer
Year of publication 2012
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxxiv, 638p
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Adaptation, learning, and optimization
490 ## - SERIES STATEMENT
Series statement / edited by Meng-Hiot Lim; v.12
520 ## - SUMMARY, ETC.
Summary, etc Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade.<br/><br/>The main goal of this book is to present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Furthermore, topics such as transfer, evolutionary methods and continuous spaces in reinforcement learning are surveyed. In addition, several chapters review reinforcement learning methods in robotics, in games, and in computational neuroscience. In total seventeen different subfields are presented by mostly young experts in those areas, and together they truly represent a state-of-the-art of current reinforcement learning research.<br/><br/>Marco Wiering works at the artificial intelligence department of the University of Groningen in the Netherlands. He has published extensively on various reinforcement learning topics. Martijn van Otterlo works in the cognitive artificial intelligence group at the Radboud University Nijmegen in The Netherlands. He has mainly focused on expressive knowledge<br/>representation in reinforcement learning settings.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Reinforcement learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Reinforcement (Psychology)
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Wiering, Marco [ed.]
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Otterlo, Martijn van [ed.]
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Koha item type
        General Stacks PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 21/10/2019 1 11899.29 006.31 R275 A184859 18029.23 Books

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