{"id":"https://openalex.org/W4412610453","doi":"https://doi.org/10.1109/hpcc64274.2024.00116","title":"CMAIR: Cooperative Multi-Agent Intrinsic Reward Framework for Enhancing Efficiency in Warehouses","display_name":"CMAIR: Cooperative Multi-Agent Intrinsic Reward Framework for Enhancing Efficiency in Warehouses","publication_year":2024,"publication_date":"2024-12-13","ids":{"openalex":"https://openalex.org/W4412610453","doi":"https://doi.org/10.1109/hpcc64274.2024.00116"},"language":"en","primary_location":{"id":"doi:10.1109/hpcc64274.2024.00116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc64274.2024.00116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5056879438","display_name":"Bingyi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingyi Liu","raw_affiliation_strings":["Wuhan University of Technology,School of Computer Science and Artificial Intelligence,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology,School of Computer Science and Artificial Intelligence,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chengrui Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengrui Wan","raw_affiliation_strings":["Wuhan University of Technology,School of Computer Science and Artificial Intelligence,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology,School of Computer Science and Artificial Intelligence,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019042027","display_name":"Weizhen Han","orcid":"https://orcid.org/0000-0003-2992-2650"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhen Han","raw_affiliation_strings":["Wuhan University of Technology,School of Computer Science and Artificial Intelligence,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology,School of Computer Science and Artificial Intelligence,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085805626","display_name":"Enshu Wang","orcid":"https://orcid.org/0000-0001-7253-4763"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enshu Wang","raw_affiliation_strings":["Wuhan University,School of Cyber Science and Engineering,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Cyber Science and Engineering,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119057098","display_name":"Shihong Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihong Cui","raw_affiliation_strings":["Wuhan University of Technology,School of Computer Science and Artificial Intelligence,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology,School of Computer Science and Artificial Intelligence,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5353,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86534834,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"846","last_page":"851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.935699999332428,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.935699999332428,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.6318622827529907},{"id":"https://openalex.org/keywords/warehouse","display_name":"Warehouse","score":0.5155208110809326},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.4192315638065338},{"id":"https://openalex.org/keywords/process-management","display_name":"Process management","score":0.37829673290252686},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3347051739692688},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.12446582317352295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6318622827529907},{"id":"https://openalex.org/C50416739","wikidata":"https://www.wikidata.org/wiki/Q181623","display_name":"Warehouse","level":2,"score":0.5155208110809326},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4192315638065338},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.37829673290252686},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3347051739692688},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.12446582317352295}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpcc64274.2024.00116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc64274.2024.00116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1989407213","https://openalex.org/W2016074030","https://openalex.org/W2123030512","https://openalex.org/W2191404279","https://openalex.org/W3037164939","https://openalex.org/W3092786062","https://openalex.org/W3206082228","https://openalex.org/W4231449374","https://openalex.org/W4296437225","https://openalex.org/W4386453517","https://openalex.org/W4389689571","https://openalex.org/W4392081023","https://openalex.org/W6600356965","https://openalex.org/W6751725685","https://openalex.org/W6797464607","https://openalex.org/W6840380725"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3135624046","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4399515993","https://openalex.org/W4396701345","https://openalex.org/W2392996360"],"abstract_inverted_index":{"In":[0,106,127],"the":[1,23,68,117,135,140,162,167,179],"landscape":[2],"of":[3,26,29,166,183],"automated":[4,6],"warehousing,":[5],"guided":[7],"vehicles":[8],"(AGVs)":[9],"play":[10],"a":[11,27,111,123,153],"key":[12],"role":[13],"in":[14,32,196],"enhancing":[15],"operational":[16],"accuracy":[17],"and":[18,40,103,164,181,189,201],"reducing":[19,41],"labor":[20],"costs.":[21,42],"Optimizing":[22],"movement":[24],"path":[25,50,56],"group":[28],"AGVs,":[30],"especially":[31],"time-sensitive":[33],"environments,":[34],"is":[35],"crucial":[36],"for":[37,71],"maintaining":[38],"efficiency":[39],"We":[43,192],"describe":[44],"this":[45,107,128],"problem":[46],"as":[47,122],"timeliness-constrained":[48],"multi-agent":[49,55,155],"finding":[51,57],"(TC-MAPF).":[52],"Although":[53],"current":[54],"(MAPF)":[58],"approaches":[59],"primarily":[60],"focus":[61],"on":[62,86],"maximizing":[63],"throughput,":[64,207],"they":[65],"typically":[66],"overlook":[67],"critical":[69,145],"need":[70],"adhering":[72],"to":[73,94,115,160,214],"stringent":[74,210],"timeliness":[75,130],"constraints":[76,131,212],"associated":[77],"with":[78],"transportation":[79],"tasks.":[80],"Moreover,":[81],"these":[82,144],"methods":[83],"depend":[84],"heavily":[85],"carefully":[87],"designed":[88],"reward":[89,136,157,168],"functions":[90],"that":[91,139,203],"are":[92,132],"specific":[93],"particular":[95],"environmental":[96],"settings.":[97],"This":[98],"reliance":[99],"constrains":[100],"their":[101,148],"flexibility":[102],"broad":[104],"applicability.":[105],"paper,":[108],"we":[109,151],"propose":[110],"novel":[112],"MAPF":[113,217],"algorithm":[114],"address":[116],"TC-MAPF":[118],"problem,":[119],"formulating":[120],"it":[121,204],"constrained":[124],"Markov":[125],"game.":[126],"formulation,":[129],"integrated":[133],"into":[134],"function,":[137],"ensuring":[138,186],"agents":[141],"prioritize":[142],"meeting":[143],"deadlines":[146],"during":[147],"operations.":[149],"Additionally,":[150],"introduce":[152],"cooperative":[154],"intrinsic":[156],"(CMAIR)":[158],"framework":[159,176],"enhance":[161],"adaptability":[163],"generalization":[165],"mechanisms":[169],"across":[170],"various":[171,197],"dynamic":[172],"environments.":[173],"The":[174],"CMAIR":[175],"comprehensively":[177],"considers":[178],"positions":[180],"actions":[182],"all":[184],"agents,":[185],"efficient":[187],"exploration":[188],"policy":[190],"optimization.":[191],"evaluate":[193],"our":[194],"method":[195],"simulated":[198],"warehouse":[199],"scenarios":[200],"demonstrate":[202],"significantly":[205],"improves":[206],"particularly":[208],"under":[209],"time":[211],"compared":[213],"several":[215],"existing":[216],"methods.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
