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dc.contributor.authorVouros, George
dc.contributor.authorKravaris, Theocharis
dc.date.accessioned2025-03-07T16:19:30Z
dc.date.available2025-03-07T16:19:30Z
dc.date.issued2023
dc.date.submitted2024-05-23T10:12:53Z
dc.identifierONIX_20240523__28
dc.identifierhttps://library.oapen.org/handle/20.500.12657/90508
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/157990
dc.description.abstractundefined
dc.languageEnglish
dc.rightsopen access
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
dc.subject.otherMachine learning
dc.titleChapter Deep Multiagent Reinforcement Learning Methods Addressing the Scalability Challenge
dc.typechapter
oapen.identifier.doi10.5772/intechopen.105627
oapen.relation.isPublishedBy035ecc65-6737-43cf-a13a-6bdf67ce01f4
oapen.relation.isFundedByH2020 European Research Council
oapen.relation.isFundedBy178e65b9-dd53-4922-b85c-0aaa74fce079
oapen.collectionEuropean Research Council (ERC)
oapen.collectionEU collection
oapen.grant.number892358
dc.relationisFundedBy178e65b9-dd53-4922-b85c-0aaa74fce079


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