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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/eenergy/SharmaSLFVSR23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Christine_Sweeney>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Draguna_L._Vrabie>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Himanshu_Sharma>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Joshua_D._Suetterlein>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Sumathi_Lakshmiranganatha>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Thomas_Flynn_0001>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Vinay_Ramakrishniah>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1145%2F3599733.3600261>
foaf:homepage <https://doi.org/10.1145/3599733.3600261>
dc:identifier DBLP conf/eenergy/SharmaSLFVSR23 (xsd:string)
dc:identifier DOI doi.org%2F10.1145%2F3599733.3600261 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
rdfs:label EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Christine_Sweeney>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Draguna_L._Vrabie>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Himanshu_Sharma>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Joshua_D._Suetterlein>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Sumathi_Lakshmiranganatha>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Thomas_Flynn_0001>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Vinay_Ramakrishniah>
swrc:pages 134-139 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/eenergy/2023c>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/eenergy/SharmaSLFVSR23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/eenergy/SharmaSLFVSR23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/eenergy/eenergy2023c.html#SharmaSLFVSR23>
rdfs:seeAlso <https://doi.org/10.1145/3599733.3600261>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/eenergy>
dc:title EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document