{"id":"https://openalex.org/W4409494132","doi":"https://doi.org/10.1109/tac.2025.3561108","title":"Learning With Delayed Payoffs in Population Games Using Kullback\u2013Leibler Divergence Regularization","display_name":"Learning With Delayed Payoffs in Population Games Using Kullback\u2013Leibler Divergence Regularization","publication_year":2025,"publication_date":"2025-04-16","ids":{"openalex":"https://openalex.org/W4409494132","doi":"https://doi.org/10.1109/tac.2025.3561108"},"language":"en","primary_location":{"id":"doi:10.1109/tac.2025.3561108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2025.3561108","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/A5038347119","display_name":"Shinkyu Park","orcid":"https://orcid.org/0000-0002-8643-404X"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Shinkyu Park","raw_affiliation_strings":["Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032304399","display_name":"Naomi Ehrich Leonard","orcid":"https://orcid.org/0000-0002-5328-3871"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naomi Ehrich Leonard","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038347119"],"corresponding_institution_ids":["https://openalex.org/I71920554"],"apc_list":null,"apc_paid":null,"fwci":1.2631,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78700916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"70","issue":"10","first_page":"6593","last_page":"6608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.89410001039505,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.89410001039505,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.8823999762535095,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.6379053592681885},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5723075270652771},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5655176043510437},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4408387839794159},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44044339656829834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4002128839492798},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.36873772740364075},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.32987895607948303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26767784357070923},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.13979920744895935}],"concepts":[{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.6379053592681885},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5723075270652771},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5655176043510437},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4408387839794159},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44044339656829834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4002128839492798},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.36873772740364075},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.32987895607948303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26767784357070923},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.13979920744895935},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tac.2025.3561108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2025.3561108","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/F4320322320","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1967250398","https://openalex.org/W1972768959","https://openalex.org/W1972809627","https://openalex.org/W1978497094","https://openalex.org/W1982843671","https://openalex.org/W2009465547","https://openalex.org/W2019521193","https://openalex.org/W2027163871","https://openalex.org/W2039346667","https://openalex.org/W2065643755","https://openalex.org/W2085728653","https://openalex.org/W2085914666","https://openalex.org/W2093187348","https://openalex.org/W2095477585","https://openalex.org/W2096913736","https://openalex.org/W2106713015","https://openalex.org/W2111250529","https://openalex.org/W2115483886","https://openalex.org/W2116718598","https://openalex.org/W2117775715","https://openalex.org/W2125904738","https://openalex.org/W2144355672","https://openalex.org/W2154983078","https://openalex.org/W2254533881","https://openalex.org/W2265786408","https://openalex.org/W2315740735","https://openalex.org/W2471198485","https://openalex.org/W2589559120","https://openalex.org/W2592185106","https://openalex.org/W2740751271","https://openalex.org/W2799532920","https://openalex.org/W2885541157","https://openalex.org/W2913329514","https://openalex.org/W2925418831","https://openalex.org/W2962676888","https://openalex.org/W2994199001","https://openalex.org/W3010798797","https://openalex.org/W3022321359","https://openalex.org/W3022568726","https://openalex.org/W3091842512","https://openalex.org/W3120515021","https://openalex.org/W3185806900","https://openalex.org/W3205809587","https://openalex.org/W3216580989","https://openalex.org/W4220715510","https://openalex.org/W4233991420","https://openalex.org/W4242608922","https://openalex.org/W4281395691"],"related_works":["https://openalex.org/W2105321464","https://openalex.org/W2887774187","https://openalex.org/W2388220555","https://openalex.org/W2033178790","https://openalex.org/W3048739257","https://openalex.org/W1665563134","https://openalex.org/W2963604926","https://openalex.org/W1616881371","https://openalex.org/W1520875569","https://openalex.org/W2199957582"],"abstract_inverted_index":{"We":[0,158],"study":[1],"a":[2,121,147,165,170],"multi-agent":[3],"decision":[4],"problem":[5],"in":[6,80,82],"large":[7],"population":[8,75,150],"games.":[9],"Agents":[10],"from":[11,73],"multiple":[12],"populations":[13],"select":[14],"strategies":[15,52],"for":[16,146],"repeated":[17],"interactions":[18],"with":[19,110],"one":[20],"another.":[21],"At":[22],"each":[23],"stage":[24],"of":[25,59,123,149],"these":[26],"interactions,":[27],"agents":[28],"use":[29],"their":[30,35],"decision-making":[31,71],"model":[32,136],"to":[33,49,55,67,89,139,155],"revise":[34],"strategy":[36,84],"selections":[37],"based":[38],"on":[39,164],"payoffs":[40],"determined":[41],"by":[42],"an":[43,90,111],"underlying":[44],"game.":[45,61,173],"Their":[46],"goal":[47],"is":[48],"learn":[50],"the":[51,56,60,74,83,94,102,116,134,140],"that":[53,113,133,152],"correspond":[54],"Nash":[57,141],"equilibrium":[58,91,142],"However,":[62],"when":[63],"games":[64,151],"are":[65,153],"subject":[66,154],"time":[68,156],"delays,":[69],"conventional":[70],"models":[72],"game":[76,168],"literature":[77],"may":[78],"result":[79],"oscillations":[81],"revision":[85],"process":[86],"or":[87],"convergence":[88,128,138],"other":[92],"than":[93],"Nash.":[95],"To":[96],"address":[97],"this":[98],"problem,":[99],"we":[100,131],"propose":[101],"Kullback-Leibler":[103],"Divergence":[104],"Regularized":[105],"Learning":[106],"(KLD-RL)":[107],"model,":[108],"along":[109],"algorithm":[112],"iteratively":[114],"updates":[115],"model's":[117],"regularization":[118],"parameter":[119],"across":[120],"network":[122],"communicating":[124],"agents.":[125],"Using":[126],"passivity-based":[127],"analysis":[129],"techniques,":[130],"show":[132],"KLD-RL":[135],"achieves":[137],"without":[143],"oscillations,":[144],"even":[145],"class":[148],"delays.":[157],"demonstrate":[159],"our":[160],"main":[161],"results":[162],"numerically":[163],"two-population":[166,171],"congestion":[167],"and":[169],"zero-sum":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}