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Learning to communicate with multi-agent reinforcement learning using value-decomposition networks

dc.contributor.authorVanneste, Simon
dc.contributor.authorVanneste, Astrid
dc.contributor.authorBosmans, Stig
dc.contributor.authorMercelis, Siegfried
dc.contributor.authorHellinckx, Peter
dc.date.accessioned2021-10-27T22:02:09Z
dc.date.available2021-10-27T22:02:09Z
dc.date.issued2019
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/34326
dc.sourceIIOimport
dc.titleLearning to communicate with multi-agent reinforcement learning using value-decomposition networks
dc.typeProceedings paper
dc.contributor.imecauthorVanneste, Simon
dc.contributor.imecauthorVanneste, Astrid
dc.contributor.imecauthorBosmans, Stig
dc.contributor.imecauthorMercelis, Siegfried
dc.contributor.imecauthorHellinckx, Peter
dc.contributor.orcidimecVanneste, Simon::0000-0002-9664-9925
dc.contributor.orcidimecVanneste, Astrid::0000-0002-6742-6722
dc.contributor.orcidimecMercelis, Siegfried::0000-0001-9355-6566
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage736
dc.source.endpage745
dc.source.conference3PGCIC 2019: Advances on P2P, Parallel, Grid, Cloud and Internet Computing
dc.source.conferencedate7/11/2019
dc.source.conferencelocationAntwerpen Belgium
dc.identifier.urlhttps://doi.org/10.1007/978-3-030-33509-0_69
imec.availabilityPublished - open access
imec.internalnotesLecture Notes in Networks and Systems; Vol. LNNS 96)


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