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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/xloop-ws/OldsACLMC21>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Daniel_B._Allan>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Daniel_Olds>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Joshua_K._Lynch>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Phillip_M._Maffettone>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Stuart_I._Campbell>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Thomas_A._Caswell>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1109%2FXLOOP54565.2021.00011>
foaf:homepage <https://doi.org/10.1109/XLOOP54565.2021.00011>
dc:identifier DBLP conf/xloop-ws/OldsACLMC21 (xsd:string)
dc:identifier DOI doi.org%2F10.1109%2FXLOOP54565.2021.00011 (xsd:string)
dcterms:issued 2021 (xsd:gYear)
rdfs:label Optimizing High- Throughput Capabilities by Leveraging Reinforcement Learning Methods with the Bluesky Suite. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Daniel_B._Allan>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Daniel_Olds>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Joshua_K._Lynch>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Phillip_M._Maffettone>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Stuart_I._Campbell>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Thomas_A._Caswell>
swrc:pages 36-42 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/xloop-ws/2021>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/xloop-ws/OldsACLMC21/dblp>
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rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/xloop-ws/xloop-ws2021.html#OldsACLMC21>
rdfs:seeAlso <https://doi.org/10.1109/XLOOP54565.2021.00011>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/xloop-ws>
dc:title Optimizing High- Throughput Capabilities by Leveraging Reinforcement Learning Methods with the Bluesky Suite. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document