{"id":"https://openalex.org/W2167448192","doi":"https://doi.org/10.1109/sfcs.1995.492489","title":"Efficient algorithms for learning to play repeated games against computationally bounded adversaries","display_name":"Efficient algorithms for learning to play repeated games against computationally bounded adversaries","publication_year":2002,"publication_date":"2002-11-19","ids":{"openalex":"https://openalex.org/W2167448192","doi":"https://doi.org/10.1109/sfcs.1995.492489","mag":"2167448192"},"language":"en","primary_location":{"id":"doi:10.1109/sfcs.1995.492489","doi":"https://doi.org/10.1109/sfcs.1995.492489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sfcs.1995.492489","pdf_url":null,"source":{"id":"https://openalex.org/S4210175768","display_name":"Annual Symposium on Foundations of Computer Science","issn_l":"0272-5428","issn":["0272-5428"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of IEEE 36th Annual Foundations of Computer Science","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5072341135","display_name":"Yoav Freund","orcid":"https://orcid.org/0000-0002-3850-6184","observed_orcids":["https://orcid.org/0000-0002-3850-6184"]},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Freund","raw_affiliation_strings":["AT and T Bell Laboratories, Inc., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT and T Bell Laboratories, Inc., USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029730907","display_name":"Michael J. Kearns","orcid":"https://orcid.org/0000-0001-7569-0147","observed_orcids":["https://orcid.org/0000-0001-7569-0147"]},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Kearns","raw_affiliation_strings":["AT and T Bell Laboratories, Inc., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT and T Bell Laboratories, Inc., USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014637159","display_name":"Yishay Mansour","orcid":"https://orcid.org/0000-0001-6891-2645","observed_orcids":["https://orcid.org/0000-0001-6891-2645"]},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Y. Mansour","raw_affiliation_strings":["Tel-Aviv University, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel-Aviv University, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063746987","display_name":"Dana Ron","orcid":"https://orcid.org/0000-0001-6576-7200","observed_orcids":["https://orcid.org/0000-0001-6576-7200"]},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]},{"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":["IN","US"],"is_corresponding":false,"raw_author_name":"D. Ron","raw_affiliation_strings":["MIT, Anna University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT, Anna University","institution_ids":["https://openalex.org/I33585257","https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041567023","display_name":"Ronitt Rubinfeld","orcid":"https://orcid.org/0000-0002-4353-7639","observed_orcids":["https://orcid.org/0000-0002-4353-7639"]},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Rubinfeld","raw_affiliation_strings":["Cornell University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084108666","display_name":"Robert E. Schapire","orcid":"https://orcid.org/0000-0001-8616-1611","observed_orcids":["https://orcid.org/0000-0001-8616-1611"]},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.E. Schapire","raw_affiliation_strings":["AT and T Bell Laboratories, Inc., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT and T Bell Laboratories, Inc., USA","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2092,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.9645845,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"332","last_page":"341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.8970000147819519,"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":0.8970000147819519,"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":0.04820000007748604,"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/T11567","display_name":"semigroups and automata theory","score":0.007400000002235174,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/repeated-games","display_name":"repeated games","score":0.9070000052452087},{"id":"https://openalex.org/keywords/finite-state-machines","display_name":"finite automata","score":0.7170000076293945},{"id":"https://openalex.org/keywords/cooperation","display_name":"cooperation","score":0.453000009059906},{"id":"https://openalex.org/keywords/game-theoretic-learning","display_name":"game-theoretic learning","score":0.6230000257492065}],"concepts":[{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.7886214852333069},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.7645187377929688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6688584685325623},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6461615562438965},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.6146420240402222},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6134387254714966},{"id":"https://openalex.org/C2776807809","wikidata":"https://www.wikidata.org/wiki/Q6510160","display_name":"Learning automata","level":3,"score":0.5750448703765869},{"id":"https://openalex.org/C56694532","wikidata":"https://www.wikidata.org/wiki/Q4421045","display_name":"Turns, rounds and time-keeping systems in games","level":4,"score":0.5612533092498779},{"id":"https://openalex.org/C102234262","wikidata":"https://www.wikidata.org/wiki/Q1320931","display_name":"Combinatorial game theory","level":4,"score":0.5099066495895386},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.48580479621887207},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45698243379592896},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.4437110722064972},{"id":"https://openalex.org/C7606001","wikidata":"https://www.wikidata.org/wiki/Q4686702","display_name":"Adversary model","level":3,"score":0.416535884141922},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.39885246753692627},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.36536845564842224},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.3211301863193512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31816914677619934},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.31494325399398804},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24746191501617432},{"id":"https://openalex.org/C170828538","wikidata":"https://www.wikidata.org/wiki/Q1751513","display_name":"Game mechanics","level":2,"score":0.2335503101348877},{"id":"https://openalex.org/C47187476","wikidata":"https://www.wikidata.org/wiki/Q12336660","display_name":"Video game design","level":3,"score":0.16153591871261597},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":10,"locations":[{"id":"doi:10.1109/sfcs.1995.492489","doi":"https://doi.org/10.1109/sfcs.1995.492489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sfcs.1995.492489","pdf_url":null,"source":{"id":"https://openalex.org/S4210175768","display_name":"Annual Symposium on Foundations of Computer Science","issn_l":"0272-5428","issn":["0272-5428"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of IEEE 36th Annual Foundations of Computer Science","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.219.1044","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.219.1044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ucsd.edu/~yfreund/papers/EfficientGames.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.44.6502","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.44.6502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cornell.edu/Info/People/ronitt/PAP/games.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.45.584","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.45.584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.math.tau.ac.il/pub/mansour/PAPERS/MACHINE_LEARNING/focs95a.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.51.6961","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.6961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://theory.lcs.mit.edu/pub/people/danar/games-focs95.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.51.9367","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.9367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.research.att.com/~schapire/cgi-bin/uncompress-papers/FreundKeMaRoRuSc95.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.56.6115","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.6115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.math.tau.ac.il/~mansour/papers/95focs-games.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.79.3398","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.3398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.upenn.edu/~mkearns/papers/games.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.81.8579","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.81.8579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eng.tau.ac.il/~danar/Public-pdf/games-focs95.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.84.87","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.84.87","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.ucsd.edu/~yfreund/papers/EfficientGames.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1528916561","https://openalex.org/W1987780311","https://openalex.org/W2000586494","https://openalex.org/W2005034333","https://openalex.org/W2006069523","https://openalex.org/W2026450901","https://openalex.org/W2032100464","https://openalex.org/W2049538756","https://openalex.org/W2068050949","https://openalex.org/W2077400689","https://openalex.org/W2092183701","https://openalex.org/W2129113961","https://openalex.org/W2140606869","https://openalex.org/W4246994868","https://openalex.org/W4252122518"],"related_works":["https://openalex.org/W2067412374","https://openalex.org/W4405464720","https://openalex.org/W7099769826","https://openalex.org/W7098098698","https://openalex.org/W1976275358","https://openalex.org/W2166694847","https://openalex.org/W7098682373","https://openalex.org/W7096262786","https://openalex.org/W2264669358","https://openalex.org/W7095399989"],"abstract_inverted_index":{"We":[0,26],"examine":[1,66],"the":[2,19,23,46,50,58,72,80,98,101,107,134,143,150,155],"problem":[3],"of":[4,22,100,149,157],"learning":[5,24,73,102],"to":[6,84],"play":[7,114,129],"various":[8],"games":[9,35,67],"optimally":[10],"against":[11],"resource-bounded":[12],"adversaries,":[13],"with":[14,133,142],"an":[15],"explicit":[16],"emphasis":[17],"on":[18,97,118],"computational":[20],"efficiency":[21],"algorithm.":[25,103],"are":[27],"especially":[28],"interested":[29],"in":[30,49,106,131,140],"providing":[31],"efficient":[32],"algorithms":[33],"for":[34,44,54,70],"other":[36,56],"than":[37,57],"penny-matching":[38],"(in":[39],"which":[40,71,161],"payoff":[41,125],"is":[42,152],"received":[43],"matching":[45],"adversary's":[47,81],"action":[48],"current":[51],"round),":[52],"and":[53,68,91],"adversaries":[55,69],"classically":[59],"studied":[60],"finite":[61],"automata.":[62],"In":[63],"particular,":[64],"we":[65,109,128],"algorithm's":[74],"past":[75],"actions":[76,96],"may":[77],"strongly":[78],"affect":[79],"future":[82],"willingness":[83],"\"cooperate\"":[85],"(that":[86],"is,":[87],"permit":[88],"high":[89],"payoff),":[90],"therefore":[92],"require":[93],"carefully":[94],"planned":[95],"part":[99],"For":[104],"example,":[105],"game":[108,151],"call":[110],"contract,":[111,160],"both":[112,166],"sides":[113],"O":[115,139],"or":[116],"1":[117,130],"each":[119],"round,":[120],"but":[121],"our":[122],"side":[123],"receives":[124],"only":[126,164],"if":[127,165],"synchrony":[132,141],"adversary;":[135],"unlike":[136],"penny-matching,":[137],"playing":[138],"adversary":[144],"pays":[145],"nothing.":[146],"The":[147],"name":[148],"derived":[153],"from":[154],"example":[156],"signing":[158],"a":[159],"becomes":[162],"valid":[163],"parties":[167],"sign":[168],"(play":[169],"1).":[170]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2016-06-24T00:00:00"}
