{"id":"https://openalex.org/W7151993318","doi":"https://doi.org/10.48550/arxiv.2604.05297","title":"Breakthrough the Suboptimal Stable Point in Value-Factorization-Based Multi-Agent Reinforcement Learning","display_name":"Breakthrough the Suboptimal Stable Point in Value-Factorization-Based Multi-Agent Reinforcement Learning","publication_year":2026,"publication_date":"2026-04-07","ids":{"openalex":"https://openalex.org/W7151993318","doi":"https://doi.org/10.48550/arxiv.2604.05297"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.05297","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05297","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.05297","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039148038","display_name":"Lesong Tao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao, Lesong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133169663","display_name":"Yifei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yifei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133161641","display_name":"Haodong Jing","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing, Haodong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133232802","display_name":"Jingwen Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Jingwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082298742","display_name":"Miao Kang","orcid":"https://orcid.org/0000-0002-4382-5796"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kang, Miao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088660566","display_name":"Shitao Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Shitao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133186517","display_name":"Nanning Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Nanning","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.8834999799728394,"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":0.8834999799728394,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.019099999219179153,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.012199999764561653,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.5260999798774719},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.48179998993873596},{"id":"https://openalex.org/keywords/stochastic-game","display_name":"Stochastic game","score":0.47429999709129333},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.46459999680519104},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4415999948978424},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.4341000020503998},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4277999997138977}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5325000286102295},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5260999798774719},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.48179998993873596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4796000123023987},{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.47429999709129333},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.46459999680519104},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4415999948978424},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.4341000020503998},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4277999997138977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4268999993801117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3239000141620636},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C61445026","wikidata":"https://www.wikidata.org/wiki/Q217608","display_name":"Fixed point","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2547000050544739},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.05297","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05297","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.05297","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05297","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.6802753210067749,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Value":[0,128],"factorization,":[1],"a":[2,47,113,125,135,157,161],"popular":[3],"paradigm":[4],"in":[5,62,72],"MARL,":[6],"faces":[7],"significant":[8],"theoretical":[9,49],"and":[10,23,171,183],"algorithmic":[11],"bottlenecks:":[12],"its":[13],"tendency":[14],"to":[15,17,29,33,140],"converge":[16],"suboptimal":[18,105],"solutions":[19],"remains":[20],"poorly":[21],"understood":[22],"unsolved.":[24],"Theoretically,":[25],"existing":[26,73],"analyses":[27],"fail":[28],"explain":[30],"this":[31,43],"due":[32],"their":[34],"primary":[35,83],"focus":[36],"on":[37,165],"the":[38,51,56,82,91,94,141,185],"optimal":[39,92],"case.":[40],"To":[41],"bridge":[42],"gap,":[44],"we":[45,75,123],"introduce":[46],"novel":[48,126],"concept:":[50],"stable":[52,69,79,96,158,181],"point,":[53],"which":[54],"characterizes":[55],"potential":[57],"convergence":[58],"of":[59,68,85,180,187],"value":[60],"factorization":[61],"general":[63],"cases.":[64],"Through":[65],"an":[66],"analysis":[67,179],"point":[70,97,159],"distributions":[71],"methods,":[74],"reveal":[76],"that":[77],"non-optimal":[78],"points":[80,182],"are":[81],"cause":[84],"poor":[86],"performance.":[87],"However,":[88],"algorithmically,":[89],"making":[90],"action":[93],"unique":[95],"is":[98],"nearly":[99],"infeasible.":[100],"In":[101],"contrast,":[102],"iteratively":[103],"filtering":[104],"actions":[106,148],"by":[107,121,133],"rendering":[108],"them":[109],"unstable":[110,150],"emerges":[111],"as":[112],"more":[114],"practical":[115],"approach":[116],"for":[117],"global":[118],"optimality.":[119],"Inspired":[120],"this,":[122],"propose":[124],"Multi-Round":[127],"Factorization":[129],"(MRVF)":[130],"framework.":[131],"Specifically,":[132],"measuring":[134],"non-negative":[136],"payoff":[137],"increment":[138],"relative":[139],"previously":[142],"selected":[143],"action,":[144],"MRVF":[145,188],"transforms":[146],"inferior":[147],"into":[149],"points,":[151],"thereby":[152],"driving":[153],"each":[154],"iteration":[155],"toward":[156],"with":[160],"superior":[162],"action.":[163],"Experiments":[164],"challenging":[166],"benchmarks,":[167],"including":[168],"predator-prey":[169],"tasks":[170],"StarCraft":[172],"II":[173],"Multi-Agent":[174],"Challenge":[175],"(SMAC),":[176],"validate":[177],"our":[178],"demonstrate":[184],"superiority":[186],"over":[189],"state-of-the-art":[190],"methods.":[191]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-09T00:00:00"}
