Reinforcement learning for cyber operations : (Record no. 93540)

000 -LEADER
fixed length control field 02050cam a22003978i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251120114619.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr aa aaaaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241030s2025 nju 001 0 eng c
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2024049767
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781394206452
Qualifying information (hardback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781394206469
Qualifying information (adobe pdf)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781394206476
Qualifying information (epub)
035 ## - SYSTEM CONTROL NUMBER
System control number 23909143
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.6
Item number .R34 2025
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/1
Edition number 23/eng/20241209
100 1# - MAIN ENTRY--PERSONAL NAME
Preferred name for the person Rahman, Abdul
Titles and other words associated with a name (Executive),
Relator term author.
245 10 - TITLE STATEMENT
Title Reinforcement learning for cyber operations :
Remainder of title applications of Artificial Intelligence for penetration testing /
Statement of responsibility, etc Abdul Rahman [and five others].
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 2502
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, New Jersey :
Name of publisher, distributor, etc Wiley,
Date of publication, distribution, etc [2025]
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
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
500 ## - GENERAL NOTE
General note Includes index.
520 ## - SUMMARY, ETC.
Summary, etc "Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Reinforcement learning differs from supervised learning in not needing labelled input/output pairs to be presented, and in not needing sub-optimal actions to be explicitly corrected. Instead the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge)."--
Assigning source Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Reinforcement learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Penetration testing (Computer security)
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://onlinelibrary.wiley.com/doi/book/10.1002/9781394206483
Link text Full text is available at Wiley Online Library Click here to view
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
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942 ## - ADDED ENTRY ELEMENTS
Source of classification or shelving scheme
Item type EBOOK
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Use restrictions Not for loan Permanent Location Current Location Date acquired Source of acquisition Full call number Date last seen Price effective from Item type
        In Process   COLLEGE LIBRARY COLLEGE LIBRARY 2025-11-20 ALBASA Consortium 006.31 R1293 2024 2025-11-20 2025-11-20 EBOOK