{"id":"https://openalex.org/W7151772010","doi":"https://doi.org/10.48550/arxiv.2604.05129","title":"No Coin Left Behind: Maximizing Strategic Surplus Against No-Regret Dynamics","display_name":"No Coin Left Behind: Maximizing Strategic Surplus Against No-Regret Dynamics","publication_year":2026,"publication_date":"2026-04-06","ids":{"openalex":"https://openalex.org/W7151772010","doi":"https://doi.org/10.48550/arxiv.2604.05129"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.05129","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05129","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.05129","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133187311","display_name":"Yiheng Su","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Su, Yiheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5063068322","display_name":"Emmanouil-Vasileios Vlatakis-Gkaragkounis","orcid":"https://orcid.org/0009-0009-7549-538X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vlatakis-Gkaragkounis, Emmanouil-Vasileios","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.47380000352859497,"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":0.47380000352859497,"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":0.18539999425411224,"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/T11031","display_name":"Game Theory and Applications","score":0.14319999516010284,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.739300012588501},{"id":"https://openalex.org/keywords/stochastic-game","display_name":"Stochastic game","score":0.5928000211715698},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.5322999954223633},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5134000182151794},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.49939998984336853},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.46059998869895935},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.38449999690055847}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.739300012588501},{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.5928000211715698},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.5322999954223633},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5134000182151794},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.49939998984336853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48019999265670776},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.4611999988555908},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.46059998869895935},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.39399999380111694},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.38449999690055847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3783999979496002},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.37700000405311584},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.37540000677108765},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.359499990940094},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.3573000133037567},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32359999418258667},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.30799999833106995},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.29910001158714294},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2694999873638153},{"id":"https://openalex.org/C2993812969","wikidata":"https://www.wikidata.org/wiki/Q1530271","display_name":"Equilibrium solution","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.05129","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05129","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.05129","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05129","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5712703466415405}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"investigate":[1],"the":[2,38,49,79,82,106,125,129],"strategic":[3,176],"surplus":[4,43,76,98,132,150],"obtainable":[5],"against":[6,26],"a":[7,27,61,67,97,118,143,165],"Follow-the-Regularized-Leader":[8],"(FTRL)":[9],"learner":[10],"with":[11,32,78,109],"constant":[12],"step":[13],"size":[14],"$\u03b7$":[15],"in":[16,89,112],"$n\\times":[17],"m$":[18],"two-player":[19],"zero-sum":[20],"games":[21],"played":[22],"over":[23],"$T$":[24],"rounds":[25],"clairvoyant":[28],"optimizer.":[29],"In":[30],"contrast":[31],"prior":[33],"analysis,":[34],"we":[35,65,153],"show":[36],"that":[37,74,147],"extraction":[39],"of":[40,48,56,70,81,99,105,136],"such":[41],"regret-scale":[42],"is":[44],"an":[45,54,94],"inherent":[46],"feature":[47],"FTRL":[50],"family,":[51],"rather":[52],"than":[53],"artifact":[55],"specific":[57],"instantiations.":[58],"First,":[59],"for":[60,93],"fixed":[62],"max-min":[63],"optimizer,":[64,96],"establish":[66],"sweeping":[68],"law":[69],"order":[71],"$\u03a9(N_{\\mathrm{sub}}/\u03b7)$,":[72],"proving":[73],"utility":[75],"scales":[77],"number":[80],"learner's":[83],"suboptimal":[84,137],"actions":[85],"$N$":[86],"and":[87,163],"vanishes":[88],"their":[90],"absence.":[91],"Second,":[92],"alternating":[95],"$\u03a9(\u03b7T/\\mathrm{poly}(n,m))$":[100],"can":[101,148],"be":[102],"guaranteed":[103],"regardless":[104],"equilibrium":[107],"structure,":[108],"high":[110],"probability,":[111],"random":[113],"games.":[114],"Our":[115],"analysis":[116],"uncovers":[117],"sharp":[119],"geometric":[120],"dichotomy:":[121],"non-steep":[122],"regularizers":[123,141,170],"allow":[124],"optimizer":[126],"to":[127,174],"realize":[128],"maximal":[130],"transient":[131],"via":[133],"finite-time":[134],"elimination":[135],"actions,":[138],"whereas":[139],"steep":[140],"introduce":[142],"vanishing":[144],"tail":[145],"correction":[146],"delay":[149],"saturation.":[151],"Finally,":[152],"discuss":[154],"whether":[155],"this":[156],"leverage":[157],"persists":[158],"under":[159],"bilateral":[160],"payoff":[161],"uncertainty":[162],"propose":[164],"susceptibility":[166],"measure":[167],"quantifying":[168],"which":[169],"are":[171],"most":[172],"vulnerable":[173],"learner-aware":[175],"steering.":[177]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-09T00:00:00"}