Multi-agent machine learning : (Record no. 241327)

MARC details
000 -LEADER
fixed length control field 01669cam a2200265 i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220518154618.0
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

No items available.

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