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Advantage actor-critic deep reinforcement learning approach for paint shop planning and scheduling

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dc.contributor.advisorTürkay, Metin
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorÖzcan, Mert Can
dc.contributor.programComputational Sciences and Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.coverage.spatialİstanbul
dc.date.accessioned2024-11-09T22:27:22Z
dc.date.issued2024
dc.format.extentx, 56 leaves : graphics ; 30 cm.
dc.identifier.urihttps://hdl.handle.net/20.500.14288/5446
dc.language.isoeng
dc.publisherKoç University
dc.relation.collectionKU Theses and Dissertations
dc.rightsrestrictedAccess
dc.rights.copyrightsnote© All Rights Reserved. Accessible to Koç University Affiliated Users Only!
dc.subjectMachine learning
dc.subjectArtificial intelligence
dc.subjectComputer networks
dc.subjectInformation networks
dc.subjectReinforcement learning
dc.titleAdvantage actor-critic deep reinforcement learning approach for paint shop planning and scheduling
dc.typeThesis
dspace.entity.typePublication
local.contributor.kuauthorÖzcan, Mert Can
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