Reinforcement Learning (Record no. 70926)

MARC details
000 -LEADER
fixed length control field 02214nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20261025114230.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 261025b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262039246
028 ## - DISTRIBUTOR NAME
Distributor Name : International Book Distributors
Distributor address : Flat No. 17, Prakash Apartment, Ansari Road, Daryaganj, New Delhi.
Bill Number : 123255
Bill Date : 21/10/2026
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 SUT
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Sutton, Richard S.
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name ; Barto, Andrew G.
245 ## - TITLE STATEMENT
Title Reinforcement Learning
Remainder of title : An Introduction.
Statement of responsibility, etc / Richard S Sutton.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Cambridge
Name of publisher, distributor, etc : MIT Press
Date of publication, distribution, etc , 2018.
300 ## - PHYSICAL DESCRIPTION
Extent xxii, 526p.
Dimensions : 24cm.
365 ## - TRADE PRICE
Price amount 8001
520 ## - SUMMARY, ETC.
Summary, etc Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.<br/><br/>Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Reinforcement Learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Richard S Sutton.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification   Not For Loan SNU LIBRARY SNU LIBRARY 25/10/2026 International Book Distributor 8001.00   006.31 SUT 31924 25/10/2026 25/10/2026 Books
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