{"id":"https://openalex.org/W7125826601","doi":"https://doi.org/10.48550/arxiv.2601.18077","title":"Sparks of Cooperative Reasoning: LLMs as Strategic Hanabi Agents","display_name":"Sparks of Cooperative Reasoning: LLMs as Strategic Hanabi Agents","publication_year":2026,"publication_date":"2026-01-26","ids":{"openalex":"https://openalex.org/W7125826601","doi":"https://doi.org/10.48550/arxiv.2601.18077"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.18077","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.18077","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":null,"license_id":null,"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.2601.18077","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123968042","display_name":"Mahesh Ramesh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramesh, Mahesh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123920269","display_name":"Kaousheik Jayakumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jayakumar, Kaousheik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123919661","display_name":"Aswinkumar Ramkumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramkumar, Aswinkumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124004141","display_name":"Pavan Thodima","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thodima, Pavan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124009242","display_name":"Aniket Rege","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rege, Aniket","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Vlatakis-Gkaragkounis, Emmanouil-Vasileios","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vlatakis-Gkaragkounis, Emmanouil-Vasileios","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.25290000438690186,"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":0.25290000438690186,"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":0.21819999814033508,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.09350000321865082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6496000289916992},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6496000289916992},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.602400004863739},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.602400004863739},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5674999952316284},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5674999952316284},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5101000070571899},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5101000070571899}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6496000289916992},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6496000289916992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6288999915122986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6288999915122986},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.602400004863739},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.602400004863739},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5674999952316284},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5674999952316284},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5101000070571899},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5101000070571899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47839999198913574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47839999198913574},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.38089999556541443},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.38089999556541443},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37869998812675476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37869998812675476},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.32670000195503235},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.32670000195503235},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.25839999318122864}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.18077","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.18077","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2601.18077","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.18077","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Cooperative":[0],"reasoning":[1,22,118,212,242,258],"under":[2],"incomplete":[3],"information":[4],"remains":[5],"challenging":[6],"for":[7,97,162,176],"both":[8,137],"humans":[9,132],"and":[10,23,36,54,100,133,152,165,181,199,215,253],"multi-agent":[11],"systems.":[12],"The":[13,224],"card":[14,65],"game":[15,160],"Hanabi":[16,135,147,195],"embodies":[17],"this":[18],"challenge,":[19],"requiring":[20],"theory-of-mind":[21],"strategic":[24],"communication.":[25],"We":[26,86,142],"benchmark":[27,238],"17":[28],"state-of-the-art":[29],"LLM":[30],"agents":[31,90],"in":[32],"2-5":[33],"player":[34,126],"games":[35,170],"study":[37],"the":[38,113,116,144,217],"impact":[39],"of":[40,184,208],"context":[41],"engineering":[42],"across":[43,125],"model":[44,110,188,213,220,227],"scales":[45],"(4B":[46],"to":[47,49,56,69,77,204],"600B+)":[48],"understand":[50],"persistent":[51],"coordination":[52],"failures":[53],"robustness":[55],"scaffolding:":[57],"from":[58],"a":[59,185,209,235],"minimal":[60],"prompt":[61],"with":[62,71,109,149,171],"only":[63],"explicit":[64],"details":[66],"(Watson":[67],"setting),":[68,76],"scaffolding":[70],"programmatic,":[72],"Bayesian-motivated":[73],"deductions":[74],"(Sherlock":[75],"multi-turn":[78],"state":[79,98],"tracking":[80,99],"via":[81],"working":[82,95],"memory":[83,96],"(Mycroft":[84],"setting).":[85],"show":[87],"that":[88],"(1)":[89,155],"can":[91],"maintain":[92],"an":[93],"internal":[94],"(2)":[101,166],"cross-play":[102],"performance":[103,203,233],"between":[104],"different":[105],"LLMs":[106],"smoothly":[107],"interpolates":[108],"strength.":[111],"In":[112],"Sherlock":[114],"setting,":[115],"strongest":[117],"models":[119],"exceed":[120],"15":[121],"points":[122,207],"on":[123,190,234,243,248],"average":[124],"counts,":[127],"yet":[128],"still":[129],"trail":[130],"experienced":[131],"specialist":[134],"agents,":[136],"consistently":[138],"scoring":[139],"above":[140],"20.":[141],"release":[143],"first":[145],"public":[146],"datasets":[148,192],"annotated":[150],"trajectories":[151],"move":[153],"utilities:":[154],"HanabiLogs,":[156],"containing":[157,168],"1,520":[158],"full":[159],"logs":[161],"instruction":[163],"tuning,":[164],"HanabiRewards,":[167],"560":[169],"dense":[172],"move-level":[173],"value":[174],"annotations":[175],"all":[177],"candidate":[178],"moves.":[179],"Supervised":[180],"RL":[182],"finetuning":[183],"4B":[186],"open-weight":[187],"(Qwen3-Instruct)":[189],"our":[191],"improves":[193],"cooperative":[194,236],"play":[196],"by":[197,222,239,245,250],"21%":[198],"156%":[200],"respectively,":[201],"bringing":[202],"within":[205],"~3":[206],"strong":[210],"proprietary":[211],"(o4-mini)":[214],"surpassing":[216],"best":[218],"non-reasoning":[219],"(GPT-4.1)":[221],"52%.":[223],"HanabiRewards":[225],"RL-finetuned":[226],"further":[228],"generalizes":[229],"beyond":[230],"Hanabi,":[231],"improving":[232],"group-guessing":[237],"11%,":[240],"temporal":[241],"EventQA":[244],"6.4%,":[246],"instruction-following":[247],"IFBench-800K":[249],"1.7":[251],"Pass@10,":[252],"matching":[254],"AIME":[255],"2025":[256],"mathematical":[257],"Pass@10.":[259]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-28T00:00:00"}