{"id":"https://openalex.org/W4285606325","doi":"https://doi.org/10.24963/ijcai.2022/735","title":"Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract)","display_name":"Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract)","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285606325","doi":"https://doi.org/10.24963/ijcai.2022/735"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/735","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/735","pdf_url":"https://www.ijcai.org/proceedings/2022/0735.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0735.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shushman Choudhury","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I143002897","display_name":"Universit\u00e9 de Toulon","ror":"https://ror.org/02m9kbe37","country_code":"FR","type":"education","lineage":["https://openalex.org/I143002897"]},{"id":"https://openalex.org/I4210114274","display_name":"Laboratoire d\u2019Informatique et Syst\u00e8mes","ror":"https://ror.org/0257sgk90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I143002897","https://openalex.org/I21491767","https://openalex.org/I4210114274"]},{"id":"https://openalex.org/I4647051","display_name":"Universit\u00e9 de Picardie Jules Verne","ror":"https://ror.org/01gyxrk03","country_code":"FR","type":"education","lineage":["https://openalex.org/I4647051"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["CN","FR","US"],"is_corresponding":false,"raw_author_name":"Shushman Choudhury","raw_affiliation_strings":["Stanford University","Aix Marseille Univ, Universit\u00e9 de Toulon, CNRS, LIS, Marseille, France","Universit\u00e9 de Picardie Jules Verne, Amiens, France","Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Aix Marseille Univ, Universit\u00e9 de Toulon, CNRS, LIS, Marseille, France","institution_ids":["https://openalex.org/I143002897","https://openalex.org/I4210114274","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Universit\u00e9 de Picardie Jules Verne, Amiens, France","institution_ids":["https://openalex.org/I4647051"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jayesh K. Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Jayesh K. Gupta","raw_affiliation_strings":["Microsoft","Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":null,"display_name":"Mykel J. Kochenderfer","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I143002897","display_name":"Universit\u00e9 de Toulon","ror":"https://ror.org/02m9kbe37","country_code":"FR","type":"education","lineage":["https://openalex.org/I143002897"]},{"id":"https://openalex.org/I4210114274","display_name":"Laboratoire d\u2019Informatique et Syst\u00e8mes","ror":"https://ror.org/0257sgk90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I143002897","https://openalex.org/I21491767","https://openalex.org/I4210114274"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Mykel J. Kochenderfer","raw_affiliation_strings":["Stanford University","Aix Marseille Univ, Universit\u00e9 de Toulon, CNRS, LIS, Marseille, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Aix Marseille Univ, Universit\u00e9 de Toulon, CNRS, LIS, Marseille, France","institution_ids":["https://openalex.org/I143002897","https://openalex.org/I4210114274","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5279","last_page":"5283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9994000196456909,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9994000196456909,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9991999864578247,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8152915239334106},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7674470543861389},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7313528656959534},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6090660095214844},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5952873826026917},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.48948371410369873},{"id":"https://openalex.org/keywords/monte-carlo-tree-search","display_name":"Monte Carlo tree search","score":0.4578503668308258},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4269794821739197},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4019147455692291},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3805282711982727},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.33681148290634155},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22910389304161072},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09249463677406311}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8152915239334106},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7674470543861389},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7313528656959534},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6090660095214844},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5952873826026917},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.48948371410369873},{"id":"https://openalex.org/C46149586","wikidata":"https://www.wikidata.org/wiki/Q11785332","display_name":"Monte Carlo tree search","level":3,"score":0.4578503668308258},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4269794821739197},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4019147455692291},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3805282711982727},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.33681148290634155},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22910389304161072},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09249463677406311},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/735","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/735","pdf_url":"https://www.ijcai.org/proceedings/2022/0735.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/735","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/735","pdf_url":"https://www.ijcai.org/proceedings/2022/0735.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285606325.pdf","grobid_xml":"https://content.openalex.org/works/W4285606325.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1521003796","https://openalex.org/W1543115993","https://openalex.org/W1625390266","https://openalex.org/W1981826826","https://openalex.org/W2096145798","https://openalex.org/W2098432798","https://openalex.org/W2109554237","https://openalex.org/W2120575449","https://openalex.org/W2126316555","https://openalex.org/W2133422082","https://openalex.org/W2134779831","https://openalex.org/W2138965998","https://openalex.org/W2146103272","https://openalex.org/W2171084228","https://openalex.org/W2175809009","https://openalex.org/W2545546008","https://openalex.org/W2768629321","https://openalex.org/W2807741983","https://openalex.org/W2946478166","https://openalex.org/W3103882218","https://openalex.org/W3119753847","https://openalex.org/W3133418365","https://openalex.org/W4238447998","https://openalex.org/W4295598622"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4230315250"],"abstract_inverted_index":{"We":[0,44,118],"present":[1],"a":[2,121],"scalable":[3],"planning":[4,72],"algorithm":[5,67],"for":[6,58,146],"multi-agent":[7],"sequential":[8],"decision":[9],"problems":[10,139],"that":[11,52,143],"require":[12],"dynamic":[13],"collaboration.":[14],"Teams":[15],"of":[16,34,42],"agents":[17],"need":[18],"to":[19,30,55,137],"coordinate":[20,64],"decisions":[21],"in":[22],"many":[23],"domains,":[24],"but":[25],"naive":[26],"approaches":[27],"fail":[28],"due":[29],"the":[31,35,40,92,96,115],"exponential":[32],"growth":[33],"joint":[36,89],"action":[37],"space":[38],"with":[39,73,83,91,100,109,125],"number":[41],"agents.":[43],"circumvent":[45],"this":[46,141],"complexity":[47],"through":[48],"an":[49],"anytime":[50],"approach":[51,105,135],"allows":[53],"us":[54],"trade":[56],"computation":[57,112],"approximation":[59],"quality":[60],"and":[61,86,131],"also":[62,119],"dynamically":[63],"actions.":[65],"Our":[66],"comprises":[68],"three":[69],"elements:":[70],"online":[71],"Monte":[74],"Carlo":[75],"Tree":[76],"Search":[77],"(MCTS),":[78],"factorizing":[79],"local":[80],"agent":[81],"interactions":[82],"coordination":[84,102,129],"graphs,":[85,103,130],"selecting":[87],"optimal":[88],"actions":[90],"Max-Plus":[93],"method.":[94],"On":[95],"benchmark":[97],"SysAdmin":[98],"domain":[99,124,142],"static":[101],"our":[104,134],"achieves":[106],"comparable":[107],"performance":[108],"much":[110],"lower":[111],"cost":[113],"than":[114],"MCTS":[116,148],"baselines.":[117],"introduce":[120],"multi-drone":[122],"delivery":[123],"dynamic,":[126],"i.e.,":[127],"state-dependent":[128],"demonstrate":[132],"how":[133],"scales":[136],"large":[138],"on":[140],"are":[144],"intractable":[145],"other":[147],"methods.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2022-07-16T00:00:00"}
