{"id":"https://openalex.org/W4405464720","doi":"https://doi.org/10.1145/3670865.3673517","title":"Pareto-Optimal Algorithms for Learning in Games","display_name":"Pareto-Optimal Algorithms for Learning in Games","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4405464720","doi":"https://doi.org/10.1145/3670865.3673517"},"language":"en","primary_location":{"id":"doi:10.1145/3670865.3673517","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670865.3673517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM Conference on Economics and Computation","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/A5019365634","display_name":"Eshwar Ram Arunachaleswaran","orcid":"https://orcid.org/0009-0006-2988-2491"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eshwar Ram Arunachaleswaran","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, United States of America"],"raw_orcid":"https://orcid.org/0009-0006-2988-2491","affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, United States of America","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045954727","display_name":"Natalie Collina","orcid":"https://orcid.org/0009-0006-2584-7728"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]},{"id":"https://openalex.org/I922845939","display_name":"Philadelphia University","ror":"https://ror.org/03zzmyz63","country_code":"US","type":"education","lineage":["https://openalex.org/I922845939"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Natalie Collina","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, USA"],"raw_orcid":"https://orcid.org/0009-0006-2584-7728","affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, USA","institution_ids":["https://openalex.org/I922845939","https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022676938","display_name":"Jon Schneider","orcid":"https://orcid.org/0000-0001-5392-3560"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jon Schneider","raw_affiliation_strings":["Google Research, New York, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-5392-3560","affiliations":[{"raw_affiliation_string":"Google Research, New York, United States of America","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019365634"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":1.8772,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87416303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"490","last_page":"510"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9957000017166138,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9878000020980835,"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/computer-science","display_name":"Computer science","score":0.7009283900260925},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.6139585375785828},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5055375099182129},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46883124113082886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38066476583480835},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32917520403862},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30774247646331787},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.3056870102882385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16732358932495117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7009283900260925},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.6139585375785828},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5055375099182129},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46883124113082886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38066476583480835},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32917520403862},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30774247646331787},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.3056870102882385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16732358932495117}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3670865.3673517","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670865.3673517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G372616103","display_name":null,"funder_award_id":"CCF-2045128","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310598","display_name":"Amazon Web Services","ror":"https://ror.org/04mv4n011"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1570963478","https://openalex.org/W1971309210","https://openalex.org/W1982813377","https://openalex.org/W2029010138","https://openalex.org/W2073242866","https://openalex.org/W2126776273","https://openalex.org/W2539402368","https://openalex.org/W2962979247","https://openalex.org/W2965737549","https://openalex.org/W2998446700","https://openalex.org/W3148958427","https://openalex.org/W3210494900","https://openalex.org/W4226169253","https://openalex.org/W4285090587","https://openalex.org/W4308288639","https://openalex.org/W4311113162","https://openalex.org/W6600047755","https://openalex.org/W6676764858"],"related_works":["https://openalex.org/W1963790170","https://openalex.org/W4318426920","https://openalex.org/W2073298047","https://openalex.org/W2033790662","https://openalex.org/W2090178682","https://openalex.org/W2586328217","https://openalex.org/W2049264236","https://openalex.org/W4241467429","https://openalex.org/W2337862504","https://openalex.org/W2067496256"],"abstract_inverted_index":{"We":[0],"study":[1],"the":[2,22,26,38,41,46,68],"problem":[3],"of":[4],"characterizing":[5],"optimal":[6,47],"learning":[7,31,57,78],"algorithms":[8,58,79],"for":[9,50,67],"playing":[10],"repeated":[11],"games":[12],"against":[13,33,80],"an":[14],"adversary":[15],"with":[16],"unknown":[17],"payoffs.":[18,83],"In":[19],"this":[20],"problem,":[21],"first":[23],"player":[24,36],"(called":[25,37],"learner)":[27],"commits":[28],"to":[29],"a":[30,34],"algorithm":[32],"second":[35],"optimizer),":[39],"and":[40],"optimizer":[42,82],"best-responds":[43],"by":[44],"choosing":[45],"dynamic":[48],"strategy":[49],"their":[51],"(unknown":[52],"but":[53,70],"well-defined)":[54],"payoff.":[55],"Classic":[56],"(such":[59],"as":[60],"no-regret":[61],"algorithms)":[62],"provide":[63],"some":[64],"counterfactual":[65],"guarantees":[66],"learner,":[69],"might":[71],"perform":[72],"much":[73],"more":[74],"poorly":[75],"than":[76],"other":[77],"particular":[81]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
