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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/gis/TuYMZJZYL24>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Haoyu_Ye>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jincheng_Jiang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ke_Mai>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Meng_Zhou>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Qingquan_Li>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Shengao_Yi>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Tianhong_Zhao>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Wei_Tu>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1080%2F13658816.2023.2279969>
foaf:homepage <https://doi.org/10.1080/13658816.2023.2279969>
dc:identifier DBLP journals/gis/TuYMZJZYL24 (xsd:string)
dc:identifier DOI doi.org%2F10.1080%2F13658816.2023.2279969 (xsd:string)
dcterms:issued 2024 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/gis>
rdfs:label Deep online recommendations for connected E-taxis by coupling trajectory mining and reinforcement learning. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Haoyu_Ye>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jincheng_Jiang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ke_Mai>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Meng_Zhou>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Qingquan_Li>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Shengao_Yi>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Tianhong_Zhao>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Wei_Tu>
swrc:month February (xsd:string)
swrc:number 2 (xsd:string)
swrc:pages 216-242 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/gis/TuYMZJZYL24/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/gis/TuYMZJZYL24>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/gis/gis38.html#TuYMZJZYL24>
rdfs:seeAlso <https://doi.org/10.1080/13658816.2023.2279969>
dc:title Deep online recommendations for connected E-taxis by coupling trajectory mining and reinforcement learning. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 38 (xsd:string)