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dc.contributor.authorLan, Xi
dc.contributor.authorLee, Brian
dc.contributor.authorQiao, Yuansong
dc.date.accessioned2020-11-20T15:54:58Z
dc.date.available2020-11-20T15:54:58Z
dc.date.copyright2020
dc.date.issued2020-06
dc.identifier.citationLan, X., Lee, B., Qiao, B. (2020). Cooperative industrial multi robot system using multi agent reinforcement learning. Presented at AIT Poster Presentation Seminar June 2020en_US
dc.identifier.urihttp://research.thea.ie/handle/20.500.12065/3489
dc.description.abstractThis poster describes the research definition process for thisearly stage PhD. Our goal is to investigate the feasibility of using multi-agent deep learning (MADRL) as an approach for solving cooperative multi robot system (MRS) challenges in smart manufacturingen_US
dc.formatPDFen_US
dc.language.isoengen_US
dc.publisherAthlone Institute of Technologyen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMulti robot system (MRS)en_US
dc.subjectMulti-agent deep learning (MADRL)en_US
dc.titleCooperative industrial multi robot system using multi agent reinforcement learningen_US
dc.typeinfo:eu-repo/semantics/otheren_US
dc.contributor.affiliationAthlone Institute of Technologyen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0600-0752en_US
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.departmentSoftware Research Institute AITen_US
dc.type.versioninfo:eu-repo/semantics/publishedVersionen_US


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International