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dc:creator <https://dblp.l3s.de/d2r/resource/authors/Per_Kreuger>
foaf:homepage <http://dx.doi.org/doi.org%2F10.23919%2FCNSM55787.2022.9965060>
foaf:homepage <https://doi.org/10.23919/CNSM55787.2022.9965060>
dc:identifier DBLP conf/cnsm/CorcoranKB22 (xsd:string)
dc:identifier DOI doi.org%2F10.23919%2FCNSM55787.2022.9965060 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
rdfs:label A Sample Efficient Multi-Agent Approach to Continuous Reinforcement Learning. (xsd:string)
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swrc:pages 338-344 (xsd:string)
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rdfs:seeAlso <https://doi.org/10.23919/CNSM55787.2022.9965060>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/cnsm>
dc:title A Sample Efficient Multi-Agent Approach to Continuous Reinforcement Learning. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document