{"id":"https://openalex.org/W4404181257","doi":"https://doi.org/10.14778/3685800.3685849","title":"A Data-Driven Spatiotemporal Simulator for Reinforcement Learning Methods","display_name":"A Data-Driven Spatiotemporal Simulator for Reinforcement Learning Methods","publication_year":2024,"publication_date":"2024-08-01","ids":{"openalex":"https://openalex.org/W4404181257","doi":"https://doi.org/10.14778/3685800.3685849"},"language":"en","primary_location":{"id":"doi:10.14778/3685800.3685849","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3685800.3685849","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102742513","display_name":"Dingyuan Shi","orcid":"https://orcid.org/0009-0007-0932-166X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dingyuan Shi","raw_affiliation_strings":["Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beihang University"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050474196","display_name":"Bingchen Song","orcid":"https://orcid.org/0009-0009-3547-6395"},"institutions":[{"id":"https://openalex.org/I4210136277","display_name":"Institute of Space and Astronautical Science","ror":"https://ror.org/034gcgw60","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800865746","https://openalex.org/I4210136277"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Bingchen Song","raw_affiliation_strings":["Beijing Institute of Astronautical Systems Engineering"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Astronautical Systems Engineering","institution_ids":["https://openalex.org/I4210136277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320640","display_name":"Yuanyuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Zhang","raw_affiliation_strings":["North China Institute of Computing Technology"],"affiliations":[{"raw_affiliation_string":"North China Institute of Computing Technology","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089961950","display_name":"Hongxing Yang","orcid":"https://orcid.org/0000-0001-5117-5394"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haolong Yang","raw_affiliation_strings":["Beihang University"],"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100665809","display_name":"Ke Xu","orcid":"https://orcid.org/0000-0001-8669-3909"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Xu","raw_affiliation_strings":["Beihang University"],"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102742513"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68655567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"17","issue":"12","first_page":"4257","last_page":"4260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6860127449035645},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6541908383369446},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.550672709941864},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.542748749256134},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4748694598674774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2895974814891815},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1538456380367279}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6860127449035645},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6541908383369446},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.550672709941864},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.542748749256134},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4748694598674774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2895974814891815},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1538456380367279},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3685800.3685849","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3685800.3685849","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2119717200","https://openalex.org/W3166344325","https://openalex.org/W3212678506","https://openalex.org/W4225387466","https://openalex.org/W4287186482","https://openalex.org/W4385318099"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W2920061524","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856"],"abstract_inverted_index":{"Spatiotemporal":[0,120],"applications":[1,26],"such":[2],"as":[3],"taxi":[4,139],"order":[5,140],"dispatching":[6,141],"and":[7,63,87,142,146,182],"warehouse":[8,143],"task":[9,144],"scheduling":[10,145],"depend":[11],"critically":[12],"on":[13],"the":[14,20,39,79,105,148,172],"algorithms":[15,77],"for":[16,59,65,84,98,127,153],"operational":[17],"efficiency.":[18],"However,":[19,90],"inherent":[21],"dynamic":[22],"nature":[23],"of":[24,34,41,81,107],"these":[25],"presents":[27],"challenges":[28],"in":[29,46,189],"algorithm":[30,49,100,109,129],"design.":[31,101],"The":[32,157],"growth":[33],"mobility":[35],"services":[36],"has":[37,68,95],"facilitated":[38],"collection":[40],"extensive":[42],"spatiotemporal":[43,66,99,108,128,190],"data,":[44],"which":[45],"turn":[47],"prompted":[48],"designers":[50,177],"to":[51,124,138,150,170,178],"use":[52,80],"data-driven":[53],"methods.":[54],"Reinforcement":[55],"learning":[56],"(RL),":[57],"recognized":[58],"its":[60],"strong":[61],"performance":[62],"suitability":[64],"contexts,":[67],"garnered":[69],"considerable":[70],"research":[71],"interest.":[72],"Despite":[73],"their":[74,184],"potential,":[75],"RL":[76],"necessitate":[78],"a":[82,116],"simulator":[83],"both":[85],"training":[86],"validation":[88],"purposes.":[89],"no":[91],"specific":[92],"simulation":[93],"system":[94,117,158],"been":[96],"developed":[97],"This":[102,175],"vacancy":[103],"hinders":[104],"progress":[106],"designers.":[110,130],"In":[111],"this":[112],"demo,":[113],"we":[114],"build":[115],"called":[118],"Data-driven":[119],"Simulator":[121],"(DSS),":[122],"hoping":[123],"bring":[125],"convenience":[126],"DSS":[131],"is":[132],"adept":[133],"at":[134],"handling":[135],"problems":[136],"related":[137],"possesses":[147],"versatility":[149],"be":[151],"expanded":[152],"other":[154],"user-defined":[155],"scenarios.":[156],"includes":[159],"visualization":[160],"modules":[161],"that":[162],"offer":[163],"insightful":[164],"panels,":[165],"alongside":[166],"developer":[167],"tools":[168],"designed":[169],"streamline":[171],"development":[173],"process.":[174],"enables":[176],"efficiently":[179],"craft,":[180],"evaluate,":[181],"refine":[183],"algorithms,":[185],"potentially":[186],"accelerating":[187],"innovation":[188],"application":[191],"development.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}