{"id":"https://openalex.org/W7163564512","doi":"https://doi.org/10.48550/arxiv.2606.04359","title":"Learning to cooperate with emergent reputation via multi-agent reinforcement learning","display_name":"Learning to cooperate with emergent reputation via multi-agent reinforcement learning","publication_year":2026,"publication_date":"2026-06-03","ids":{"openalex":"https://openalex.org/W7163564512","doi":"https://doi.org/10.48550/arxiv.2606.04359"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.04359","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04359","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.04359","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121027951","display_name":"Xinwei Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Xinwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022686427","display_name":"Yizhe Huang","orcid":"https://orcid.org/0000-0002-3236-0380"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Yizhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062272326","display_name":"Dengji Zhao","orcid":"https://orcid.org/0000-0002-9572-1753"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Dengji","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137863028","display_name":"Xue Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Xue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.1647000014781952,"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":0.1647000014781952,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.13089999556541443,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10927","display_name":"Access Control and Trust","score":0.10360000282526016,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reputation","display_name":"Reputation","score":0.9118000268936157},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7401000261306763},{"id":"https://openalex.org/keywords/social-learning","display_name":"Social learning","score":0.4544000029563904},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4438000023365021},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.39469999074935913},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.38269999623298645},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.3693999946117401}],"concepts":[{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.9118000268936157},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7401000261306763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6592000126838684},{"id":"https://openalex.org/C79416737","wikidata":"https://www.wikidata.org/wiki/Q2305519","display_name":"Social learning","level":2,"score":0.4544000029563904},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4438000023365021},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.39469999074935913},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.38269999623298645},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.3693999946117401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3310000002384186},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.326200008392334},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3167000114917755},{"id":"https://openalex.org/C2781218421","wikidata":"https://www.wikidata.org/wiki/Q2892532","display_name":"Reputation system","level":3,"score":0.31349998712539673},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2718000113964081},{"id":"https://openalex.org/C50318809","wikidata":"https://www.wikidata.org/wiki/Q2145081","display_name":"Replicator equation","level":3,"score":0.2563999891281128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.04359","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04359","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.04359","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.04359","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":"Preprint"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4542654752731323}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Reputation,":[0],"the":[1,66,104,112,118,124,129,134,143,147,169,189],"aggregation":[2],"of":[3,107,115,171,193],"peer":[4],"assessments":[5],"diffused":[6],"through":[7],"social":[8,18,185],"networks,":[9],"is":[10,44],"a":[11,45,78],"pivotal":[12],"mechanism":[13],"for":[14,69],"promoting":[15],"cooperation":[16,175],"in":[17,128,150,176],"dilemmas":[19],"ubiquitous":[20],"to":[21,62,159],"distributed":[22,79],"multi-agent":[23,80],"systems":[24,163],"comprising":[25,37],"agents":[26],"with":[27,86],"limited":[28],"perception":[29],"and":[30,41,71,95,117,126,139,146,164,174,191],"cognitive":[31],"capabilities.":[32],"Exploring":[33],"efficient":[34],"reputation":[35,38,52,57,92,138,162,172],"systems,":[36],"assessment":[39,53,93],"rules":[40,54,94],"reputation-based":[42,96],"policies,":[43,64],"long-standing":[46],"challenge.":[47],"Previous":[48],"work":[49],"assumes":[50],"predefined":[51],"or":[55],"models":[56],"as":[58],"an":[59],"intrinsic":[60],"reward":[61],"learn":[63],"compromising":[65],"methods'":[67],"ability":[68],"generalization":[70],"adaptation.":[72],"To":[73],"address":[74],"this,":[75],"we":[76,109,167],"propose":[77],"reinforcement":[81],"learning":[82],"method":[83],"$\\textbf{COOPER}$":[84,116,156],"($\\textbf{COOP}$eration":[85],"$\\textbf{E}$mergent":[87],"$\\textbf{R}$eputation),":[88],"which":[89],"jointly":[90],"learns":[91],"policies":[97],"entirely":[98],"from":[99],"environment":[100],"rewards.":[101],"Notably,":[102],"leveraging":[103],"underlying":[105],"mechanisms":[106],"reputation,":[108],"deliberately":[110],"design":[111],"constituent":[113],"modules":[114],"data":[119],"flows":[120],"among":[121],"them,":[122],"overcoming":[123],"latency":[125],"noise":[127],"feedback":[130],"signal,":[131],"caused":[132],"by":[133],"deep":[135],"entanglement":[136],"between":[137],"policy.":[140],"Experiments":[141],"on":[142],"donation":[144],"game":[145,149],"coin":[148],"grid":[151],"world":[152],"environments":[153],"demonstrate":[154],"that":[155],"effectively":[157],"adapts":[158],"various":[160],"existing":[161],"co-players.":[165],"Furthermore,":[166],"observe":[168],"co-emergence":[170],"norms":[173],"self-play":[177],"settings.":[178],"These":[179],"results":[180],"hold":[181],"robustly":[182],"across":[183],"diverse":[184],"network":[186],"topologies,":[187],"underscoring":[188],"generalizability":[190],"efficacy":[192],"our":[194],"approach.":[195]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-05T00:00:00"}