{"id":"https://openalex.org/W4411946067","doi":"https://doi.org/10.1145/3736252.3742612","title":"Learning a Stackelberg Leader's Incentives from Optimal Commitments","display_name":"Learning a Stackelberg Leader's Incentives from Optimal Commitments","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W4411946067","doi":"https://doi.org/10.1145/3736252.3742612"},"language":"en","primary_location":{"id":"doi:10.1145/3736252.3742612","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736252.3742612","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742612","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742612","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100652868","display_name":"Yurong Chen","orcid":"https://orcid.org/0000-0003-0659-7154"},"institutions":[{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Yurong Chen","raw_affiliation_strings":["Inria, Ecole Normale Sup\u00e9rieure, PSL Research University, Paris, France"],"raw_orcid":"https://orcid.org/0000-0003-0659-7154","affiliations":[{"raw_affiliation_string":"Inria, Ecole Normale Sup\u00e9rieure, PSL Research University, Paris, France","institution_ids":["https://openalex.org/I29607241","https://openalex.org/I2746051580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100638710","display_name":"Xiaotie Deng","orcid":"https://orcid.org/0000-0002-5282-6467"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotie Deng","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5282-6467","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026249843","display_name":"Jiarui Gan","orcid":"https://orcid.org/0000-0003-1280-2134"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiarui Gan","raw_affiliation_strings":["University of Oxford, Oxford, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-1280-2134","affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100348221","display_name":"Yuhao Li","orcid":"https://orcid.org/0000-0001-5281-8742"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhao Li","raw_affiliation_strings":["Columbia University, New York, USA"],"raw_orcid":"https://orcid.org/0000-0001-5281-8742","affiliations":[{"raw_affiliation_string":"Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100652868"],"corresponding_institution_ids":["https://openalex.org/I2746051580","https://openalex.org/I29607241"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17731593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"688","last_page":"688"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11810","display_name":"Complex Systems and Decision Making","score":0.48429998755455017,"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/T11810","display_name":"Complex Systems and Decision Making","score":0.48429998755455017,"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/T11031","display_name":"Game Theory and Applications","score":0.42809998989105225,"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/T12137","display_name":"Economic theories and models","score":0.39989998936653137,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stackelberg-competition","display_name":"Stackelberg competition","score":0.9557209610939026},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.7642890810966492},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.5022399425506592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.492844820022583},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3487796187400818},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.33562108874320984},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.28073036670684814}],"concepts":[{"id":"https://openalex.org/C199510392","wikidata":"https://www.wikidata.org/wiki/Q1184602","display_name":"Stackelberg competition","level":2,"score":0.9557209610939026},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.7642890810966492},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.5022399425506592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.492844820022583},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3487796187400818},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.33562108874320984},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.28073036670684814}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3736252.3742612","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736252.3742612","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742612","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3736252.3742612","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3736252.3742612","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3736252.3742612","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1752386013","display_name":null,"funder_award_id":"62172012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2439744834","display_name":null,"funder_award_id":"ANR-23-IACL-0008","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6612625481","display_name":null,"funder_award_id":"France 2030","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321456","display_name":"BNP Paribas Cardif","ror":"https://ror.org/02v616z87"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411946067.pdf","grobid_xml":"https://content.openalex.org/works/W4411946067.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1520139536","https://openalex.org/W2068883847","https://openalex.org/W1986740040","https://openalex.org/W1486499056","https://openalex.org/W1549443502","https://openalex.org/W3121315832","https://openalex.org/W2161390604","https://openalex.org/W1652408444","https://openalex.org/W2139312185"],"abstract_inverted_index":{"Stackelberg":[0,90,124],"equilibria,":[1],"as":[2],"functions":[3],"of":[4,86,135],"the":[5,13,28,34,63,66,72,84,92,108,121,133,140,150],"players'":[6,14],"payoffs,":[7],"can":[8,25,53],"inversely":[9],"reveal":[10],"information":[11,109],"about":[12,27],"incentives.":[15],"In":[16],"this":[17,145],"paper,":[18],"we":[19,105,138],"study":[20],"to":[21,62,119,142],"what":[22],"extent":[23],"one":[24,52],"learn":[26,54],"leader's":[29,35,73,151],"incentives":[30],"by":[31,45,111,126],"actively":[32],"querying":[33],"optimal":[36],"commitments":[37],"against":[38],"strategically":[39,60],"designed":[40],"followers.":[41],"We":[42],"show":[43,106],"that,":[44],"using":[46],"polynomially":[47],"many":[48],"queries":[49],"and":[50,80],"operations,":[51],"a":[55,117,128],"payoff":[56],"function":[57],"that":[58,107,144],"is":[59,114,146],"equivalent":[61],"leader's,":[64],"in":[65],"sense":[67],"that:":[68],"1)":[69],"it":[70,82],"preserves":[71,83],"preference":[74],"over":[75],"almost":[76],"all":[77,87,98],"strategy":[78],"profiles;":[79],"2)":[81],"set":[85],"possible":[88,99,123,147],"(strong)":[89],"equilibria":[91],"leader":[93],"may":[94],"engage":[95],"in,":[96],"considering":[97],"follower":[100,118,130],"types.":[101],"As":[102],"an":[103],"application,":[104],"acquired":[110],"our":[112,136],"algorithm":[113],"sufficient":[115],"for":[116],"induce":[120],"best":[122,134],"equilibrium":[125],"imitating":[127],"different":[129],"type.":[131],"To":[132],"knowledge,":[137],"are":[139],"first":[141],"demonstrate":[143],"without":[148],"knowing":[149],"payoffs":[152],"beforehand.":[153]},"counts_by_year":[],"updated_date":"2026-05-01T08:36:08.643496","created_date":"2025-10-10T00:00:00"}
