{"id":"https://openalex.org/W7224102774","doi":"https://doi.org/10.48550/arxiv.2610.36683","title":"Feedback autocratic strategies in stochastic games","display_name":"Feedback autocratic strategies in stochastic games","publication_year":2026,"publication_date":"2026-10-27","ids":{"openalex":"https://openalex.org/W7224102774","doi":"https://doi.org/10.48550/arxiv.2610.36683"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2610.36683","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.36683","pdf_url":"https://arxiv.org/pdf/2610.36683","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2610.36683","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121613748","display_name":"Masahiko Ueda","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ueda, Masahiko","raw_affiliation_strings":["Department of Physics , Tokyo Metropolitan University , Tokyo 192-0397 , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics , Tokyo Metropolitan University , Tokyo 192-0397 , Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5121613748"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T11031","display_name":"Game Theory and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10646","display_name":"Experimental Behavioral Economics Studies","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stochastic-games","display_name":"stochastic games","score":0.925000011920929},{"id":"https://openalex.org/keywords/repeated-games","display_name":"repeated games","score":0.9210000038146973},{"id":"https://openalex.org/keywords/feedback-strategies","display_name":"feedback strategies","score":0.859000027179718},{"id":"https://openalex.org/keywords/social-dilemmas","display_name":"social dilemmas","score":0.8240000009536743},{"id":"https://openalex.org/keywords/traffic-flow-control","display_name":"traffic flow control","score":0.7860000133514404}],"concepts":[{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.8023999929428101},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5394999980926514},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.5235000252723694},{"id":"https://openalex.org/C170131372","wikidata":"https://www.wikidata.org/wiki/Q7617811","display_name":"Stochastic control","level":3,"score":0.517300009727478},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.48820000886917114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.486299991607666},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.45210000872612},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42719998955726624},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C3018651601","wikidata":"https://www.wikidata.org/wiki/Q183635","display_name":"Feedback control","level":2,"score":0.40230000019073486},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.40070000290870667},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.3531000018119812},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C158535547","wikidata":"https://www.wikidata.org/wiki/Q5165437","display_name":"Continuous-time stochastic process","level":3,"score":0.3398999869823456},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2924000024795532},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2921000123023987},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C55479107","wikidata":"https://www.wikidata.org/wiki/Q97663916","display_name":"Stochastic approximation","level":3,"score":0.2903999984264374},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.27869999408721924},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C73795354","wikidata":"https://www.wikidata.org/wiki/Q287618","display_name":"Sequential game","level":3,"score":0.26660001277923584}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2610.36683","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.36683","pdf_url":"https://arxiv.org/pdf/2610.36683","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2610.36683","doi":"https://doi.org/10.48550/arxiv.2610.36683","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2610.36683","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,"listed_in":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2610.36683","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.36683","pdf_url":"https://arxiv.org/pdf/2610.36683","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338111","display_name":"Precursory Research for Embryonic Science and Technology","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7224102774.pdf","grobid_xml":"https://content.openalex.org/works/W7224102774.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7100702191","https://openalex.org/W2090804924","https://openalex.org/W7097680656","https://openalex.org/W2165475076","https://openalex.org/W1973028975","https://openalex.org/W2109601772","https://openalex.org/W2108701118","https://openalex.org/W2110311334","https://openalex.org/W2807836545","https://openalex.org/W7171538886"],"abstract_inverted_index":{"A":[0],"stochastic":[1,13,37,77,138],"game":[2],"is":[3,34],"an":[4],"optimal":[5],"control":[6,50,127,136],"problem":[7],"for":[8,92],"multiple":[9],"agents":[10],"in":[11,59,76,113,128,137],"a":[12,60,87],"environment.":[14],"Stochastic":[15],"games":[16,38,130],"contain":[17],"important":[18],"practical":[19],"problems,":[20],"related":[21,116],"to":[22,63,96,117,131],"environmental":[23,32],"issues":[24],"or":[25],"traffic":[26],"flows.":[27],"If":[28],"the":[29,107,123,132],"number":[30],"of":[31,100,109,125,134],"states":[33],"one,":[35],"such":[36,93,110],"are":[39],"called":[40],"repeated":[41,44,129],"games.":[42,139],"In":[43,66,83],"games,":[45,78],"several":[46,114],"strategies":[47,57,72,75,95,112],"which":[48],"unilaterally":[49],"payoffs":[51,101],"have":[52],"been":[53],"proposed,":[54],"and":[55,79,89],"these":[56,71],"work":[58,97],"mechanism":[61],"similar":[62],"feedback":[64,74,94,111,135],"control.":[65],"this":[67],"paper,":[68],"we":[69,85],"generalize":[70],"as":[73,98],"investigate":[80],"their":[81],"properties.":[82],"particular,":[84],"provide":[86],"necessary":[88],"sufficient":[90],"condition":[91],"controllers":[99],"under":[102],"some":[103],"assumptions.":[104],"We":[105],"demonstrate":[106],"performance":[108],"examples":[115],"social":[118],"dilemmas.":[119],"Our":[120],"findings":[121],"connect":[122],"theory":[124,133],"payoff":[126]},"counts_by_year":[],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2026-10-29T00:00:00"}