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pro vyhledávání: '"Makoto Tasaki"'
Autor:
Pradeep Varakantham, Makoto Tasaki, Yuichi Yabu, Milind Tambe, Yuki Iwanari, Makoto Yokoo, Janusz Marecki
Publikováno v:
IAT
The Networked Distributed POMDPs (ND-POMDPs) can model multiagent systems in uncertain domains and have begun to scale-up the number of agents. However, prior work in ND-POMDPs has failed to address communication. Without communication, the size of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a0b4ebc3cb8a73b9604ddbefa9cea9c
https://doi.org/10.3233/wia-2010-0193
https://doi.org/10.3233/wia-2010-0193
Publikováno v:
New Frontiers in Artificial Intelligence ISBN: 9783642006081
JSAI
JSAI
While Distributed POMDPs have become popular for modeling multiagent systems in uncertain domains, it is the Network Distributed POMDPs (ND-POMDPs) model that has begun to scale-up the number of agents. The ND-POMDPs can utilize the locality in agent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bda03cfb1fbeb111ed8f81efa476a07c
https://doi.org/10.1007/978-3-642-00609-8_4
https://doi.org/10.1007/978-3-642-00609-8_4
Publikováno v:
ResearcherID
IAT
IAT
Distributed Partially Observable Markov Decision Problems (Dis-POMDPs) are emerging as a popular approach for modeling sequential decision making in teams operating under uncertainty. To achieve coherent behaviors of agents, it is essential to perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7e9a7b155f877094ef51844ca78bf14
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000279800700042&KeyUID=WOS:000279800700042
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000279800700042&KeyUID=WOS:000279800700042