{"id":"https://openalex.org/W2568433471","doi":"https://doi.org/10.1145/2492002.2482558","title":"Learning equilibria of games via payoff queries","display_name":"Learning equilibria of games via payoff queries","publication_year":2013,"publication_date":"2013-06-11","ids":{"openalex":"https://openalex.org/W2568433471","doi":"https://doi.org/10.1145/2492002.2482558","mag":"2568433471"},"language":"en","primary_location":{"id":"doi:10.1145/2492002.2482558","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2492002.2482558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourteenth ACM conference on Electronic commerce","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/A5029623300","display_name":"John Fearnley","orcid":"https://orcid.org/0000-0003-0791-4342"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Fearnley","raw_affiliation_strings":["University of Liverpool, Liverpool, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Liverpool, Liverpool, United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046658423","display_name":"Martin Gairing","orcid":"https://orcid.org/0000-0002-0569-7113"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Martin Gairing","raw_affiliation_strings":["University of Liverpool, Liverpool, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Liverpool, Liverpool, United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067662147","display_name":"Paul W. Goldberg","orcid":"https://orcid.org/0000-0002-5436-7890"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul Goldberg","raw_affiliation_strings":["University of Liverpool, Liverpool, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Liverpool, Liverpool, United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084692264","display_name":"Rahul Savani","orcid":"https://orcid.org/0000-0003-1262-7831"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rahul Savani","raw_affiliation_strings":["University of Liverpool, Liverpool, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Liverpool, Liverpool, United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8356,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.93752227,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"397","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9997000098228455,"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/T11031","display_name":"Game Theory and Applications","score":0.9997000098228455,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9957000017166138,"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/T12288","display_name":"Optimization and Search Problems","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/nash-equilibrium","display_name":"Nash equilibrium","score":0.7619107961654663},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.6713706254959106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6637606620788574},{"id":"https://openalex.org/keywords/stochastic-game","display_name":"Stochastic game","score":0.6630105972290039},{"id":"https://openalex.org/keywords/best-response","display_name":"Best response","score":0.6621957421302795},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.540691077709198},{"id":"https://openalex.org/keywords/equilibrium-selection","display_name":"Equilibrium selection","score":0.5161193609237671},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.48178717494010925},{"id":"https://openalex.org/keywords/strategy","display_name":"Strategy","score":0.4507656991481781},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.4484420716762543},{"id":"https://openalex.org/keywords/normal-form-game","display_name":"Normal-form game","score":0.43553292751312256},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3899904489517212},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3617233633995056},{"id":"https://openalex.org/keywords/repeated-game","display_name":"Repeated game","score":0.3242897391319275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2624979317188263}],"concepts":[{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.7619107961654663},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.6713706254959106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6637606620788574},{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.6630105972290039},{"id":"https://openalex.org/C32407928","wikidata":"https://www.wikidata.org/wiki/Q2733833","display_name":"Best response","level":3,"score":0.6621957421302795},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.540691077709198},{"id":"https://openalex.org/C164407509","wikidata":"https://www.wikidata.org/wiki/Q5384490","display_name":"Equilibrium selection","level":4,"score":0.5161193609237671},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.48178717494010925},{"id":"https://openalex.org/C88959737","wikidata":"https://www.wikidata.org/wiki/Q1546627","display_name":"Strategy","level":3,"score":0.4507656991481781},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.4484420716762543},{"id":"https://openalex.org/C155930848","wikidata":"https://www.wikidata.org/wiki/Q1069099","display_name":"Normal-form game","level":4,"score":0.43553292751312256},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3899904489517212},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3617233633995056},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.3242897391319275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2624979317188263},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2492002.2482558","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2492002.2482558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourteenth ACM conference on Electronic commerce","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W102212266","https://openalex.org/W129412289","https://openalex.org/W163035634","https://openalex.org/W378366556","https://openalex.org/W1513282132","https://openalex.org/W1582119386","https://openalex.org/W1587360560","https://openalex.org/W1605188341","https://openalex.org/W1653437864","https://openalex.org/W1678742231","https://openalex.org/W1679223795","https://openalex.org/W1759912955","https://openalex.org/W1876716077","https://openalex.org/W1975651137","https://openalex.org/W1976640779","https://openalex.org/W1978387749","https://openalex.org/W1981247840","https://openalex.org/W1989445634","https://openalex.org/W1990873282","https://openalex.org/W1996249306","https://openalex.org/W2002373723","https://openalex.org/W2059901585","https://openalex.org/W2062961409","https://openalex.org/W2068214642","https://openalex.org/W2074058199","https://openalex.org/W2075425349","https://openalex.org/W2107285505","https://openalex.org/W2111071057","https://openalex.org/W2113154285","https://openalex.org/W2118559710","https://openalex.org/W2122414948","https://openalex.org/W2123976754","https://openalex.org/W2124666512","https://openalex.org/W2125413339","https://openalex.org/W2135604060","https://openalex.org/W2136388527","https://openalex.org/W2145297839","https://openalex.org/W2149086825","https://openalex.org/W2151766068","https://openalex.org/W2153541270","https://openalex.org/W2156523042","https://openalex.org/W2160135758","https://openalex.org/W2170050739","https://openalex.org/W2288381785","https://openalex.org/W2401181065","https://openalex.org/W2951375924","https://openalex.org/W3017295748","https://openalex.org/W3123073578","https://openalex.org/W3123975022","https://openalex.org/W6604092932"],"related_works":["https://openalex.org/W4387970507","https://openalex.org/W1853631319","https://openalex.org/W4286890617","https://openalex.org/W2910530315","https://openalex.org/W3210899448","https://openalex.org/W4365460918","https://openalex.org/W2187345782","https://openalex.org/W2612802384","https://openalex.org/W2038156579","https://openalex.org/W2797291350"],"abstract_inverted_index":{"A":[0],"recent":[1],"body":[2],"of":[3,17,21,23,26,47,83,89,129,136,156],"experimental":[4],"literature":[5],"has":[6],"studied":[7],"empirical":[8],"game-theoretical":[9],"analysis,":[10],"in":[11,65],"which":[12],"we":[13,112,139],"have":[14,140],"partial":[15],"knowledge":[16],"a":[18,24,74,126,153],"game,":[19,49],"consisting":[20],"observations":[22],"subset":[25],"the":[27,48,59,70,80,115,133,141,157],"pure-strategy":[28,130],"profiles":[29,61],"and":[30,79,97],"their":[31],"associated":[32],"payoffs":[33],"to":[34,39],"players.":[35],"The":[36],"aim":[37],"is":[38,55,102],"find":[40],"an":[41,66,121,145],"exact":[42],"or":[43],"approximate":[44],"Nash":[45],"equilibrium":[46,146],"based":[50],"on":[51,103],"these":[52],"observations.":[53],"It":[54],"usually":[56],"assumed":[57],"that":[58,144],"strategy":[60],"may":[62],"be":[63,148],"chosen":[64],"on-line":[67],"manner":[68],"by":[69],"algorithm.":[71],"We":[72,91],"study":[73],"corresponding":[75],"computational":[76],"learning":[77,84,152],"model,":[78],"query":[81],"complexity":[82],"equilibria":[85],"for":[86,95],"various":[87],"classes":[88],"games.":[90,99,107],"give":[92],"basic":[93],"results":[94],"bimatrix":[96],"graphical":[98],"Our":[100],"focus":[101],"symmetric":[104],"network":[105],"congestion":[106],"For":[108,132],"directed":[109],"acyclic":[110],"networks,":[111],"can":[113,147],"learn":[114],"cost":[116,158],"functions":[117],"(and":[118],"hence":[119],"compute":[120],"equilibrium)":[122],"while":[123,150],"querying":[124],"just":[125],"small":[127,154],"fraction":[128,155],"profiles.":[131],"special":[134],"case":[135],"parallel":[137],"links,":[138],"stronger":[142],"result":[143],"identified":[149],"only":[151],"values.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}