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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/hicss/NahhasKT22>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Abdulrahman_Nahhas>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Andrey_Kharitonov>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Klaus_Turowski>
foaf:homepage <http://hdl.handle.net/10125/79538>
dc:identifier DBLP conf/hicss/NahhasKT22 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
rdfs:label Deep Reinforcement Learning Techniques For Solving Hybrid Flow Shop Scheduling Problems: Proximal Policy Optimization (PPO) and Asynchronous Advantage Actor-Critic (A3C). (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Abdulrahman_Nahhas>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Andrey_Kharitonov>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Klaus_Turowski>
swrc:pages 1-10 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/hicss/2022>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/hicss/NahhasKT22/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/hicss/NahhasKT22>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/hicss/hicss2022.html#NahhasKT22>
rdfs:seeAlso <http://hdl.handle.net/10125/79538>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/hicss>
dc:title Deep Reinforcement Learning Techniques For Solving Hybrid Flow Shop Scheduling Problems: Proximal Policy Optimization (PPO) and Asynchronous Advantage Actor-Critic (A3C). (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document