{"id":"https://openalex.org/W3211621594","doi":"https://doi.org/10.1145/3519935.3520031","title":"Near-optimal no-regret learning for correlated equilibria in multi-player general-sum games","display_name":"Near-optimal no-regret learning for correlated equilibria in multi-player general-sum games","publication_year":2022,"publication_date":"2022-06-09","ids":{"openalex":"https://openalex.org/W3211621594","doi":"https://doi.org/10.1145/3519935.3520031","mag":"3211621594"},"language":"en","primary_location":{"id":"doi:10.1145/3519935.3520031","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3519935.3520031","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3519935.3520031","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3519935.3520031","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057299811","display_name":"Ioannis Anagnostides","orcid":"https://orcid.org/0000-0002-8037-6360"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ioannis Anagnostides","raw_affiliation_strings":["Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034822411","display_name":"Constantinos Daskalakis","orcid":"https://orcid.org/0000-0002-5451-0490"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Constantinos Daskalakis","raw_affiliation_strings":["Massachusetts Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070571735","display_name":"Gabriele Farina","orcid":"https://orcid.org/0000-0002-3976-0061"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gabriele Farina","raw_affiliation_strings":["Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028759533","display_name":"Maxwell Fishelson","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maxwell Fishelson","raw_affiliation_strings":["Massachusetts Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089252105","display_name":"Noah Golowich","orcid":"https://orcid.org/0000-0003-2274-7861"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noah Golowich","raw_affiliation_strings":["Massachusetts Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023571961","display_name":"T\u00fcomas Sandholm","orcid":"https://orcid.org/0000-0001-8861-9366"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tuomas Sandholm","raw_affiliation_strings":["Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5057299811"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":2.5372,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89486434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"736","last_page":"749"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9950000047683716,"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/T11031","display_name":"Game Theory and Applications","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.8695039749145508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6115235686302185},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.4560205936431885},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4124377369880676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4086615741252899},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.39848875999450684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.281636506319046},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2614104747772217}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8695039749145508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6115235686302185},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.4560205936431885},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4124377369880676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4086615741252899},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.39848875999450684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.281636506319046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2614104747772217}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3519935.3520031","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3519935.3520031","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3519935.3520031","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2111.06008","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.06008","pdf_url":"https://arxiv.org/pdf/2111.06008","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3519935.3520031","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3519935.3520031","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3519935.3520031","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3211621594.pdf","grobid_xml":"https://content.openalex.org/works/W3211621594.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W858396460","https://openalex.org/W1486687115","https://openalex.org/W1531245405","https://openalex.org/W1570963478","https://openalex.org/W1871300696","https://openalex.org/W1878322007","https://openalex.org/W1963858753","https://openalex.org/W1982813377","https://openalex.org/W1997147068","https://openalex.org/W2002373723","https://openalex.org/W2048027382","https://openalex.org/W2057913812","https://openalex.org/W2067050450","https://openalex.org/W2073242866","https://openalex.org/W2075108920","https://openalex.org/W2077723394","https://openalex.org/W2093825590","https://openalex.org/W2102794752","https://openalex.org/W2112794046","https://openalex.org/W2126776273","https://openalex.org/W2141744833","https://openalex.org/W2143343660","https://openalex.org/W2149254401","https://openalex.org/W2151033164","https://openalex.org/W2167732364","https://openalex.org/W2294025081","https://openalex.org/W2486809103","https://openalex.org/W2574978968","https://openalex.org/W2606445249","https://openalex.org/W2616697817","https://openalex.org/W2765094320","https://openalex.org/W2773381986","https://openalex.org/W2914411420","https://openalex.org/W2949995392","https://openalex.org/W2963147599","https://openalex.org/W2963297691","https://openalex.org/W2963464038","https://openalex.org/W2964070557","https://openalex.org/W2964334726","https://openalex.org/W2998446700","https://openalex.org/W3021703980","https://openalex.org/W3035135177","https://openalex.org/W3098487311","https://openalex.org/W3104179086","https://openalex.org/W3121893466","https://openalex.org/W3131996280","https://openalex.org/W3145514544","https://openalex.org/W3151826485","https://openalex.org/W3194476246","https://openalex.org/W4233392334","https://openalex.org/W4254748829","https://openalex.org/W4289754473","https://openalex.org/W4289760629","https://openalex.org/W4292022450","https://openalex.org/W4312534390","https://openalex.org/W4318224770","https://openalex.org/W6738002306"],"related_works":["https://openalex.org/W2803931294","https://openalex.org/W2282604764","https://openalex.org/W2569414037","https://openalex.org/W2500870930","https://openalex.org/W2218535193","https://openalex.org/W4389370903","https://openalex.org/W2468739564","https://openalex.org/W1554758635","https://openalex.org/W4302558842","https://openalex.org/W2171981925"],"abstract_inverted_index":{"Recently,":[0],"Daskalakis,":[1],"Fishelson,":[2],"and":[3,51,88,92],"Golowich":[4],"(DFG)":[5],"(NeurIPS":[6,90],"\u201821)":[7],"showed":[8],"that":[9,59],"if":[10],"all":[11],"agents":[12],"in":[13],"a":[14],"multi-player":[15],"general-sum":[16],"normal-form":[17],"game":[18],"employ":[19],"Optimistic":[20],"Multiplicative":[21],"Weights":[22],"Update":[23],"(OMWU),":[24],"the":[25,37,67,77],"external":[26,47],"regret":[27,48],"of":[28,36,69,81,83],"every":[29],"player":[30],"is":[31,94],"O(polylog(T))":[32],"after":[33],"T":[34],"repetitions":[35],"game.":[38],"In":[39],"this":[40],"paper":[41],"we":[42],"extend":[43],"their":[44],"result":[45],"from":[46],"to":[49,61,86,97],"internal":[50],"swap":[52],"regret,":[53],"thereby":[54],"establishing":[55],"uncoupled":[56],"learning":[57],"dynamics":[58],"converge":[60],"an":[62],"approximate":[63],"correlated":[64],"equilibrium":[65],"at":[66],"rate":[68,80],"O(":[70],"T\u22121":[71],").":[72],"This":[73],"substantially":[74],"improves":[75],"over":[76],"prior":[78],"best":[79],"convergence":[82],"O(T\u22123/4)":[84],"due":[85],"Chen":[87],"Peng":[89],"\u201820),":[91],"it":[93],"optimal":[95],"up":[96],"polylogarithmic":[98],"factors.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}