Parallel and distributed multi-agent reinforcement learning

Basit Öğe Kaydı
dc.contributor.authorKaya, M
dc.contributor.authorArslan, A
dc.date.accessioned2026-08-12T16:34:05Z
dc.date.issued2001
dc.departmentFırat Üniversitesi
dc.description8th International Conference on Parallel and Distributed Systems (ICPADS 2001) -- JUN 26-29, 2001 -- KYONGJU CITY, SOUTH KOREA
dc.description.abstractThe application of parallel and distributed systems to the multi-agent environments has attracted recent attention. Multi-agent systems are a particular type of distributed artificial intelligence system. This paper presents an approach to learning in parallel and distributed systems. A variant of the job assignment problem is chosen as on evaluation task. This is an NP-hard problem, which is relevant to many industrial application domains. Experimental results show the effectiveness of the proposed approach.
dc.description.sponsorshipKorea Informat Sci Soc,IEEE Comp Soc, Tech Comm Parallel Processing,IEEE Comp Soc, Tech Comm Distributed Processing
dc.identifier.doi10.1109/ICPADS.2001.934851
dc.identifier.endpage441
dc.identifier.isbn0-7695-1153-8
dc.identifier.orcid0000-0001-8033-2467
dc.identifier.orcid0000-0003-2995-8282
dc.identifier.scopus2-s2.0-0034851198
dc.identifier.scopusqualityN/A
dc.identifier.startpage437
dc.identifier.urihttps://doi.org/10.1109/ICPADS.2001.934851
dc.identifier.urihttps://hdl.handle.net/11508/44310
dc.identifier.wosWOS:000170063200058
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeee Computer Soc
dc.relation.ispartofProceedings of the Eighth International Conference on Parallel and Distributed Systems
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.titleParallel and distributed multi-agent reinforcement learning
dc.typeConference Object

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu