Multi-agent machine learning : a reinforcement approach /

Saved in:
Bibliographic Details
Main Author: Schwartz, Howard M. (Author)
Format: Electronic eBook
Language:English
Published: Hoboken, New Jersey : John Wiley & Sons, Inc., 2014.
Subjects:
Online Access:An electronic book accessible through the World Wide Web; click to view
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000nam a2200000 i 4500
001 0000187049
005 20171002065230.0
006 m o d
007 cr cn|||||||||
008 140902t20142014njua ob 001 0 eng d
020 |z 9781118362082 
020 |a 9781118884478 (e-book) 
035 |a (CaPaEBR)ebr10921255 
035 |a (OCoLC)881065009 
040 |a CaPaEBR  |b eng  |e rda  |e pn  |c CaPaEBR 
050 1 4 |a Q325.6  |b .S39 2014eb 
082 0 4 |a 519.3  |2 23 
100 1 |a Schwartz, Howard M.,  |e author. 
245 1 0 |a Multi-agent machine learning :  |b a reinforcement approach /  |c Howard M. Schwartz. 
264 1 |a Hoboken, New Jersey :  |b John Wiley & Sons, Inc.,  |c 2014. 
264 4 |c ©2014 
300 |a 1 online resource (257 pages) :  |b illustrations 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
504 |a Includes bibliographical references at the end of each chapters and index. 
588 |a Description based on print version record. 
590 |a Electronic reproduction. Palo Alto, Calif. : ebrary, 2014. Available via World Wide Web. Access may be limited to ebrary affiliated libraries. 
650 0 |a Reinforcement learning. 
650 0 |a Differential games. 
650 0 |a Swarm intelligence. 
650 0 |a Machine learning. 
655 0 |a Electronic books. 
776 0 8 |i Print version:  |a Schwartz, Howard M.  |t Multi-agent machine learning : a reinforcement approach.  |d Hoboken, New Jersey : John Wiley & Sons, Inc., c2014  |h xi, 242 pages  |z 9781118362082  |w 2014016950 
797 2 |a ebrary. 
856 4 0 |u http://site.ebrary.com/lib/daystar/Doc?id=10921255  |z An electronic book accessible through the World Wide Web; click to view 
908 |a 170314 
942 0 0 |c EB 
999 |c 176183  |d 176183