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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/nips/PretoriusCBMMPS20>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Alexandre_Laterre>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Arnu_Pretorius>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Elan_Van_Biljon>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jeremy_du_Plessis>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jonathan_P._Shock>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Karim_Beguir>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Scott_Alexander_Cameron>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Shahil_Mawjee>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Tom_Makkink>
foaf:homepage <https://proceedings.neurips.cc/paper/2020/hash/71c1806ca28b555c76650f52bb0d2810-Abstract.html>
dc:identifier DBLP conf/nips/PretoriusCBMMPS20 (xsd:string)
dcterms:issued 2020 (xsd:gYear)
rdfs:label A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Alexandre_Laterre>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Arnu_Pretorius>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Elan_Van_Biljon>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jeremy_du_Plessis>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jonathan_P._Shock>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Karim_Beguir>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Scott_Alexander_Cameron>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Shahil_Mawjee>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Tom_Makkink>
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/nips/2020>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/nips/PretoriusCBMMPS20/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/nips/PretoriusCBMMPS20>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/nips/neurips2020.html#PretoriusCBMMPS20>
rdfs:seeAlso <https://proceedings.neurips.cc/paper/2020/hash/71c1806ca28b555c76650f52bb0d2810-Abstract.html>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/nips>
dc:title A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document