Reinforcement learning: an introduction (Record no. 30674)

MARC details
000 -LEADER
fixed length control field 01685cam a2200349 i 4500
001 - CONTROL NUMBER
control field 20515853
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221226065029.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180525s2018 maua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2018023826
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262039246 (hardcover : alk. paper)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Description conventions rda
Modifying agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.6
Item number .R45 2018
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Sutton, Richard S.,
Relator term author.
245 10 - TITLE STATEMENT
Title Reinforcement learning: an introduction
Statement of responsibility, etc. Richard S. Sutton and Andrew G. Barto.
250 ## - EDITION STATEMENT
Edition statement Second edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge, Massachusetts :
Name of publisher, distributor, etc. The MIT Press,
Date of publication, distribution, etc. [2018]
300 ## - PHYSICAL DESCRIPTION
Extent xxii, 526 pages :
Other physical details illustrations (some color) ;
Dimensions 24 cm.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Media type code n
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
Source rdacarrier
490 0# - SERIES STATEMENT
Series statement Adaptive computation and machine learning series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (pages 481-518) and index.
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."--
Assigning source Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Reinforcement learning.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Barto, Andrew G.,
Relator term author.
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Reference Tan Tao University Tan Tao University General Stacks 12/26/2022   006.31 A-2022-0019 12/26/2022 12/26/2022 Books
    Dewey Decimal Classification     Reference Tan Tao University Tan Tao University General Stacks 12/26/2022   006.31 A-2022-0018 12/26/2022 12/26/2022 Books

Powered by Koha