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Bayesian inverse reinforcement learning for strategy extraction in the iterated prisoner's dilemma game

dc.contributor.authorCami, M.
dc.contributor.authorTerrucha, Ines
dc.contributor.authorKhaluf, Yara
dc.contributor.authorSimoens, Pieter
dc.date.accessioned2021-11-10T09:35:02Z
dc.date.available2021-11-10T09:35:02Z
dc.date.issued10/11/2021
dc.identifier.issnNA
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/38405
dc.titleBayesian inverse reinforcement learning for strategy extraction in the iterated prisoner's dilemma game
dc.typeProceedings paper
dc.contributor.imecauthorTerrucha, Ines
dc.contributor.imecauthorKhaluf, Yara
dc.contributor.imecauthorSimoens, Pieter
dc.contributor.orcidimecTerrucha, Ines
dc.contributor.orcidimecSimoens, Pieter
dc.contributor.orcidimecTerrucha, Ines::0000-0003-2086-1644
dc.contributor.orcidimecSimoens, Pieter::0000-0002-9569-9373
dc.source.numberofpages3
dc.source.peerreviewyes
dc.source.beginpage1
dc.source.endpage3
dc.source.conferenceBNAIC/BENELEARN2021, Joint International Scientific Conferences on AI
dc.source.conferencedate10-11-2021
dc.source.conferencedate10/11/2021
dc.source.conferencelocation12-11-2021
dc.source.conferencelocation-
dc.source.journalBNAIC/BENELEARN2021, Joint International Scientific Conferences on AI
imec.availabilityPublished - open access


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220.500.12860/38405.22022-06-24T09:28:07Zvalidation by library/open access desk
120.500.12860/38405*2021-11-10T09:35:02Z

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