{"id":"https://openalex.org/W2626668983","doi":"https://doi.org/10.1145/3055399.3084098","title":"Fast convergence of learning in games (invited talk)","display_name":"Fast convergence of learning in games (invited talk)","publication_year":2017,"publication_date":"2017-06-15","ids":{"openalex":"https://openalex.org/W2626668983","doi":"https://doi.org/10.1145/3055399.3084098","mag":"2626668983"},"language":"en","primary_location":{"id":"doi:10.1145/3055399.3084098","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055399.3084098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017741738","display_name":"Vasilis Syrgkanis","orcid":"https://orcid.org/0000-0001-5047-8772"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vasilis Syrgkanis","raw_affiliation_strings":["Microsoft Research, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5017741738"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08588855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"5"},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9984999895095825,"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":0.9983000159263611,"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/regret","display_name":"Regret","score":0.8950818777084351},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5883240699768066},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.5815460681915283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5813467502593994},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.44384288787841797},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.43946707248687744},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4232361614704132},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3930673897266388},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3491250276565552},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3450561463832855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32022273540496826},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1503925919532776},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.10135757923126221}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8950818777084351},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5883240699768066},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.5815460681915283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5813467502593994},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.44384288787841797},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.43946707248687744},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4232361614704132},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3930673897266388},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3491250276565552},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3450561463832855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32022273540496826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1503925919532776},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.10135757923126221},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3055399.3084098","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055399.3084098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6600000262260437,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W858396460","https://openalex.org/W1570963478","https://openalex.org/W1605188341","https://openalex.org/W1878322007","https://openalex.org/W1988790447","https://openalex.org/W2034184818","https://openalex.org/W2049337234","https://openalex.org/W2069317438","https://openalex.org/W2093825590","https://openalex.org/W2963364412"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487","https://openalex.org/W4311589891","https://openalex.org/W3123835761","https://openalex.org/W118270247"],"abstract_inverted_index":{"A":[0],"plethora":[1],"of":[2,8,36,112,126,138],"recent":[3],"work":[4,151],"has":[5],"analyzed":[6],"properties":[7],"outcomes":[9],"in":[10,29,51,55,83,104],"games":[11,87,107],"when":[12,38],"each":[13],"player":[14,85],"employs":[15],"a":[16,34,56,58,123,135],"no-regret":[17],"learning":[18,139],"algorithm.":[19],"Many":[20],"algorithms":[21,140],"achieve":[22],"regret":[23],"against":[24],"the":[25,39,69,113],"best":[26],"fixed":[27],"action":[28],"hindisght":[30],"that":[31,82,99],"decays":[32],"at":[33],"rate":[35,48,125],"O(1/'T),":[37],"game":[40,57],"is":[41,49,147],"played":[42],"for":[43],"T":[44],"iterations.":[45],"The":[46,128],"latter":[47,129],"optimal":[50,117],"adversarial":[52],"settings.":[53],"However,":[54],"player's":[59,70],"opponents":[60],"are":[61,90,102],"minimizing":[62],"their":[63],"own":[64],"regret,":[65],"rather":[66],"than":[67],"maximizing":[68],"regret.":[71],"(Daskalakis":[72],"et":[73,94,143],"al.":[74,95,144],"2014)":[75],"and":[76,78,108,157],"(Rakhlin":[77],"Sridharan":[79],"2013)":[80],"showed":[81],"two":[84],"zero-sum":[86],"O(1/T)":[88],"rates":[89,101],"achievable.":[91],"In":[92],"(Syrgkanis":[93],"2015),":[96],"we":[97,121],"show":[98,122],"O(1/T3/4)":[100],"achievable":[103],"general":[105],"multi-player":[106],"also":[109],"analyze":[110],"convergence":[111,124],"dynamics":[114],"to":[115,134],"approximately":[116],"social":[118],"welfare,":[119],"where":[120],"O(1/T).":[127],"result":[130],"was":[131],"subsequently":[132],"generalized":[133],"broader":[136],"class":[137],"by":[141],"(Foster":[142],"2016).":[145],"This":[146],"based":[148],"on":[149],"joint":[150],"with":[152],"Alekh":[153],"Agarwal,":[154],"Haipeng":[155],"Luo":[156],"Robert":[158],"E.":[159],"Schapire.":[160]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
