Multi-agent machine learning : : a reinforcement approach /

Multi-agent machine learning : : a reinforcement approach / / Howard M. Schwartz.

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Schwartz, Howard M.,
Place / Publishing House:Hoboken, New Jersey : : John Wiley & Sons, Inc.,, 2014.
2014
Year of Publication:2014
Language:English
Online Access:
Physical Description:1 online resource (257 pages) :; illustrations
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ctrlnum (MiAaPQ)5001775207
(Au-PeEL)EBL1775207
(CaPaEBR)ebr10921255
(CaONFJC)MIL640727
(OCoLC)881065009
collection bib_alma
record_format marc
spelling Schwartz, Howard M., author.
Multi-agent machine learning : a reinforcement approach / Howard M. Schwartz.
Hoboken, New Jersey : John Wiley & Sons, Inc., 2014.
2014
1 online resource (257 pages) : illustrations
text rdacontent
computer rdamedia
online resource rdacarrier
Includes bibliographical references at the end of each chapters and index.
Description based on print version record.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Reinforcement learning.
Differential games.
Swarm intelligence.
Machine learning.
Electronic books.
Print version: Schwartz, Howard M. Multi-agent machine learning : a reinforcement approach. Hoboken, New Jersey : John Wiley & Sons, Inc., c2014 xi, 242 pages 9781118362082 2014016950
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1775207 Click to View
language English
format eBook
author Schwartz, Howard M.,
spellingShingle Schwartz, Howard M.,
Multi-agent machine learning : a reinforcement approach /
author_facet Schwartz, Howard M.,
author_variant h m s hm hms
author_role VerfasserIn
author_sort Schwartz, Howard M.,
title Multi-agent machine learning : a reinforcement approach /
title_sub a reinforcement approach /
title_full Multi-agent machine learning : a reinforcement approach / Howard M. Schwartz.
title_fullStr Multi-agent machine learning : a reinforcement approach / Howard M. Schwartz.
title_full_unstemmed Multi-agent machine learning : a reinforcement approach / Howard M. Schwartz.
title_auth Multi-agent machine learning : a reinforcement approach /
title_new Multi-agent machine learning :
title_sort multi-agent machine learning : a reinforcement approach /
publisher John Wiley & Sons, Inc.,
publishDate 2014
physical 1 online resource (257 pages) : illustrations
isbn 9781118884478
9781118362082
callnumber-first Q - Science
callnumber-subject Q - General Science
callnumber-label Q325
callnumber-sort Q 3325.6 S39 42014
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1775207
illustrated Illustrated
dewey-hundreds 500 - Science
dewey-tens 510 - Mathematics
dewey-ones 519 - Probabilities & applied mathematics
dewey-full 519.3
dewey-sort 3519.3
dewey-raw 519.3
dewey-search 519.3
oclc_num 881065009
work_keys_str_mv AT schwartzhowardm multiagentmachinelearningareinforcementapproach
status_str n
ids_txt_mv (MiAaPQ)5001775207
(Au-PeEL)EBL1775207
(CaPaEBR)ebr10921255
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is_hierarchy_title Multi-agent machine learning : a reinforcement approach /
_version_ 1792330795132649472
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