Multi-agent machine learning : (Record no. 156020)

MARC details
000 -LEADER
fixed length control field 01676cam a2200265 i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20160322165210.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140604t20142014njua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118362082 (hardback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 111836208X (hardback)
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.85
Item number SCH
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Schwartz, Howard M.,
9 (RLIN) 2400
245 10 - TITLE STATEMENT
Title Multi-agent machine learning :
Remainder of title a reinforcement approach /
Statement of responsibility, etc. Howard M. Schwartz, Department of Systems and Computer Engineering, Carleton University.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. New Jersey:
Name of publisher, distributor, etc. Wiley,
Date of publication, distribution, etc. 2014.
300 ## - PHYSICAL DESCRIPTION
Extent xi, 242 pages :
520 ## - SUMMARY, ETC.
Summary, etc. "Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding different methods and approaches in multi-agent machine learning. It also provides cohesive coverage of the latest advances in multi-agent differential games and presents applications in game theory and robotics. Framework for understanding a variety of methods and approaches in multi-agent machine learning. Discusses methods of reinforcement learning such as a number of forms of multi-agent Q-learning Applicable to research professors and graduate students studying electrical and computer engineering, computer science, and mechanical and aerospace engineering"--
520 ## - SUMMARY, ETC.
Summary, etc. "Provide an in-depth coverage of multi-player, differential games and Gam theory"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Reinforcement learning.
9 (RLIN) 2401
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Differential games.
9 (RLIN) 2402
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Swarm intelligence.
9 (RLIN) 2403
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
9 (RLIN) 55
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element TECHNOLOGY & ENGINEERING / Electronics / General.
9 (RLIN) 230
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://catalogimages.wiley.com/images/db/jimages/9781118362082.jpg">http://catalogimages.wiley.com/images/db/jimages/9781118362082.jpg</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Department of Computer Science Department of Computer Science General Stacks 03/17/2016   004.85 SCH MCs05840 03/17/2016 03/17/2016 Books

University Library
Cochin University of Science and Technology
Kochi-682 022, Kerala, India