{"id":"https://openalex.org/W4417284323","doi":"https://doi.org/10.1109/tac.2025.3643351","title":"Adaptive Incentive Design With Learning Agents","display_name":"Adaptive Incentive Design With Learning Agents","publication_year":2025,"publication_date":"2025-12-12","ids":{"openalex":"https://openalex.org/W4417284323","doi":"https://doi.org/10.1109/tac.2025.3643351"},"language":null,"primary_location":{"id":"doi:10.1109/tac.2025.3643351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2025.3643351","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automatic Control","raw_type":"journal-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/A5031376831","display_name":"Chinmay Maheshwari","orcid":"https://orcid.org/0000-0003-3596-2851"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2799853436","display_name":"Johns Hopkins Medicine","ror":"https://ror.org/037zgn354","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436"]},{"id":"https://openalex.org/I6059380","display_name":"University of Baltimore","ror":"https://ror.org/024gw2733","country_code":"US","type":"education","lineage":["https://openalex.org/I6059380"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chinmay Maheshwari","raw_affiliation_strings":["Department of Electrical and Computer Engineering at Johns Hopkins University, Baltimore, MD, USA"],"raw_orcid":"https://orcid.org/0000-0003-3596-2851","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering at Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948","https://openalex.org/I2799853436","https://openalex.org/I6059380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036130379","display_name":"Kshitij Kulkarni","orcid":"https://orcid.org/0000-0003-4951-8604"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kshitij Kulkarni","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences at University of California Berkeley, Berkeley, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4951-8604","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences at University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103061454","display_name":"Manxi Wu","orcid":"https://orcid.org/0000-0001-5334-4163"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manxi Wu","raw_affiliation_strings":["Department of Civil and Environmental Engineering at University of California Berkeley, Berkeley, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-5334-4163","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering at University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062722286","display_name":"Shankar Sastry","orcid":"https://orcid.org/0009-0000-9021-7235"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shankar Sastry","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences at University of California Berkeley, Berkeley, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-1300-1574","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences at University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40477613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"71","issue":"6","first_page":"3619","last_page":"3633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.4004000127315521,"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":0.4004000127315521,"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/T11182","display_name":"Auction Theory and Applications","score":0.19670000672340393,"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":0.13459999859333038,"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/incentive","display_name":"Incentive","score":0.8167999982833862},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.6477000117301941},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6370000243186951},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5471000075340271},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.5306000113487244},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5059000253677368},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.37279999256134033},{"id":"https://openalex.org/keywords/strategic-dominance","display_name":"Strategic dominance","score":0.364300012588501}],"concepts":[{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.8167999982833862},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.6477000117301941},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6370000243186951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6226000189781189},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5471000075340271},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.5306000113487244},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5072000026702881},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5059000253677368},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C123650614","wikidata":"https://www.wikidata.org/wiki/Q282491","display_name":"Strategic dominance","level":2,"score":0.364300012588501},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.3474999964237213},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C66887028","wikidata":"https://www.wikidata.org/wiki/Q382444","display_name":"Marginal cost","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C32407928","wikidata":"https://www.wikidata.org/wiki/Q2733833","display_name":"Best response","level":3,"score":0.3276999890804291},{"id":"https://openalex.org/C94766913","wikidata":"https://www.wikidata.org/wiki/Q1530271","display_name":"Equilibrium point","level":3,"score":0.30090001225471497},{"id":"https://openalex.org/C91810955","wikidata":"https://www.wikidata.org/wiki/Q7731670","display_name":"Incentive compatibility","level":3,"score":0.2874000072479248},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C138551086","wikidata":"https://www.wikidata.org/wiki/Q842271","display_name":"Marginal utility","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C61445026","wikidata":"https://www.wikidata.org/wiki/Q217608","display_name":"Fixed point","level":2,"score":0.25920000672340393}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tac.2025.3643351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2025.3643351","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automatic Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320319788","display_name":"C3.ai Digital Transformation Institute","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,86],"propose":[1],"an":[2],"adaptive":[3,94,122],"incentive":[4,95,101],"mechanism":[5,20,48,71,96,123],"that":[6,88,104],"learns":[7],"the":[8,30,33,38,50,58,75,99,105,110,121,140,148],"optimal":[9,100,112],"incentives":[10,22,51],"in":[11,63,151],"environments":[12],"where":[13],"players":[14,81],"continuously":[15],"update":[16,83],"their":[17,84],"strategies.":[18,85],"Our":[19,129],"updates":[21,49],"based":[23],"on":[24,52],"each":[25,43],"player's":[26,34],"externality,":[27],"defined":[28],"as":[29],"difference":[31],"between":[32],"marginal":[35,40],"cost":[36,41],"and":[37,135,161],"operator's":[39],"at":[42],"time":[44],"step.":[45],"The":[46],"proposed":[47,144],"a":[53,64,126],"slower":[54],"timescale":[55],"compared":[56],"to":[57,74,82,98,125,132],"players'":[59],"learning":[60,77],"dynamics,":[61],"resulting":[62],"two-timescale":[65],"coupled":[66],"dynamical":[67],"system.":[68],"Notably,":[69],"this":[70,93],"is":[72],"agnostic":[73],"specific":[76],"dynamics":[78],"used":[79],"by":[80],"show":[87],"any":[89],"fixed":[90,127],"point":[91],"of":[92,142,156],"corresponds":[97],"mechanism,":[102,145],"ensuring":[103],"Nash":[106],"equilibrium":[107],"coincides":[108],"with":[109],"socially":[111],"strategy.":[113],"Additionally,":[114],"we":[115,146],"provide":[116],"sufficient":[117],"conditions":[118,150],"under":[119],"which":[120],"converges":[124],"point.":[128],"results":[130],"apply":[131],"both":[133],"atomic":[134,158],"non-atomic":[136,162],"games.":[137,164],"To":[138],"demonstrate":[139],"effectiveness":[141],"our":[143],"verify":[147],"convergence":[149],"two":[152],"practically":[153],"relevant":[154],"classes":[155],"games:":[157],"aggregative":[159],"games":[160],"routing":[163]},"counts_by_year":[],"updated_date":"2026-05-30T06:14:24.967023","created_date":"2025-12-12T00:00:00"}
