{"id":"https://openalex.org/W2107555698","doi":"https://doi.org/10.1109/cdc.2008.4739389","title":"Oblivious equilibrium for large-scale stochastic games with unbounded costs","display_name":"Oblivious equilibrium for large-scale stochastic games with unbounded costs","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2107555698","doi":"https://doi.org/10.1109/cdc.2008.4739389","mag":"2107555698"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2008.4739389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2008.4739389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 47th IEEE Conference on Decision and Control","raw_type":"proceedings-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/A5027497766","display_name":"Sachin Adlakha","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sachin Adlakha","raw_affiliation_strings":["Department of Electrical Engineering, University of Stanford, USA","[Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Stanford, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA]","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042177635","display_name":"Ramesh Johari","orcid":"https://orcid.org/0000-0002-3960-0770"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramesh Johari","raw_affiliation_strings":["Department of Management Science and Engineering, University of Stanford, USA","Dept. of Manage. Sci. & Eng., Stanford Univ., Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Management Science and Engineering, University of Stanford, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Dept. of Manage. Sci. & Eng., Stanford Univ., Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091598160","display_name":"Gabriel Y. Weintraub","orcid":"https://orcid.org/0000-0001-6111-507X"},"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":"Gabriel Weintraub","raw_affiliation_strings":["Columbia Business School, Columbia University, USA","Columbia Bus. Sch., Columbia Univ., New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia Business School, Columbia University, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Columbia Bus. Sch., Columbia Univ., New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074116801","display_name":"Andrea Goldsmith","orcid":"https://orcid.org/0000-0001-5686-800X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrea Goldsmith","raw_affiliation_strings":["Department of Electrical Engineering, University of Stanford, USA","[Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Stanford, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA]","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027497766"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":21.4491,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.99083982,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"5531","last_page":"5538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12137","display_name":"Economic theories and models","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T12137","display_name":"Economic theories and models","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9836999773979187,"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/T11520","display_name":"Advanced Thermodynamics and Statistical Mechanics","score":0.9729999899864197,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5695396065711975},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.515375554561615},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.4861862063407898},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.48581385612487793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.453216016292572},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4284197688102722},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4262143075466156},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.41961801052093506},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.41826874017715454},{"id":"https://openalex.org/keywords/markov-perfect-equilibrium","display_name":"Markov perfect equilibrium","score":0.4131411612033844},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.319200336933136},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12796396017074585}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5695396065711975},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.515375554561615},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.4861862063407898},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.48581385612487793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.453216016292572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4284197688102722},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4262143075466156},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.41961801052093506},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.41826874017715454},{"id":"https://openalex.org/C67091656","wikidata":"https://www.wikidata.org/wiki/Q6771328","display_name":"Markov perfect equilibrium","level":3,"score":0.4131411612033844},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.319200336933136},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12796396017074585},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc.2008.4739389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2008.4739389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 47th IEEE Conference on Decision and Control","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.142.1693","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.142.1693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wsl.stanford.edu/Publications/Sachin/CDC2008_Johari.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1580992231","https://openalex.org/W1608471504","https://openalex.org/W1964382689","https://openalex.org/W1983321045","https://openalex.org/W1995713768","https://openalex.org/W2011720124","https://openalex.org/W2038686546","https://openalex.org/W2098432798","https://openalex.org/W2099775880","https://openalex.org/W2107403526","https://openalex.org/W2109196112","https://openalex.org/W2155099874","https://openalex.org/W2219809504","https://openalex.org/W2540238269","https://openalex.org/W3023995834","https://openalex.org/W3124616009","https://openalex.org/W3125301006","https://openalex.org/W4213122800","https://openalex.org/W6634778657","https://openalex.org/W6636592445"],"related_works":["https://openalex.org/W3215710747","https://openalex.org/W2803931294","https://openalex.org/W2282604764","https://openalex.org/W2569414037","https://openalex.org/W2500870930","https://openalex.org/W2218535193","https://openalex.org/W4389370903","https://openalex.org/W2468739564","https://openalex.org/W1554758635","https://openalex.org/W4302558842"],"abstract_inverted_index":{"We":[0],"study":[1],"stochastic":[2,24],"dynamic":[3],"games":[4,25],"with":[5],"a":[6,37,105],"large":[7,157],"number":[8,59,111],"of":[9,39,48,60,89,107,112,147],"players,":[10],"where":[11,74,133],"players":[12,61,113],"are":[13,137],"coupled":[14],"via":[15],"their":[16],"cost":[17,135],"functions.":[18],"A":[19],"standard":[20],"solution":[21,66],"concept":[22,67],"for":[23],"is":[26,36],"Markov":[27],"perfect":[28],"equilibrium":[29,70],"(MPE).":[30],"In":[31,120],"MPE,":[32],"each":[33,75],"player's":[34],"strategy":[35],"function":[38],"its":[40,81],"own":[41,82],"state":[42,47,83,88],"as":[43,45,57,109],"well":[44],"the":[46,49,58,85,110,134,149],"other":[50,90],"players.":[51,91],"This":[52,92],"makes":[53,93],"MPE":[54],"computationally":[55,95],"prohibitive":[56],"becomes":[62],"large.":[63],"An":[64],"approximate":[65],"called":[68],"oblivious":[69],"(OE)":[71],"was":[72,101],"introduced,":[73],"player\u00bfs":[76],"decision":[77],"depends":[78],"only":[79],"on":[80],"and":[84,127],"\"long-run":[86],"average\"":[87],"OE":[94,116,150],"more":[96],"tractable":[97],"than":[98],"MPE.":[99,119],"It":[100],"shown":[102],"that,":[103],"under":[104,143],"set":[106,146],"assumptions,":[108,148],"become":[114],"large,":[115],"closely":[117],"approximates":[118],"this":[121],"paper":[122],"we":[123,140],"relax":[124],"those":[125],"assumptions":[126],"generalize":[128],"that":[129,142],"result":[130,152],"to":[131,156],"cases":[132],"functions":[136],"unbounded.":[138],"Furthermore,":[139],"show":[141],"these":[144],"relaxed":[145],"approximation":[151],"can":[153],"be":[154],"applied":[155],"population":[158],"linear":[159],"quadratic":[160],"Gaussian":[161],"(LQG)":[162],"games.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}