{"id":"https://openalex.org/W2727532086","doi":"https://doi.org/10.23919/wiopt.2017.7959869","title":"When to arrive in a congested system: Achieving equilibrium via learning algorithm","display_name":"When to arrive in a congested system: Achieving equilibrium via learning algorithm","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2727532086","doi":"https://doi.org/10.23919/wiopt.2017.7959869","mag":"2727532086"},"language":"en","primary_location":{"id":"doi:10.23919/wiopt.2017.7959869","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wiopt.2017.7959869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)","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/A5052396528","display_name":"Parth Thaker","orcid":"https://orcid.org/0000-0002-8752-2391"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Parth Thaker","raw_affiliation_strings":["National Chiao Tung University"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030430086","display_name":"Aditya Gopalan","orcid":"https://orcid.org/0000-0002-7323-2975"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Aditya Gopalan","raw_affiliation_strings":["National Chiao Tung University"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034942102","display_name":"Rahul Vaze","orcid":"https://orcid.org/0000-0002-9712-1110"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Rahul Vaze","raw_affiliation_strings":["National Chiao Tung University"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052396528"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.5167,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70657246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9993000030517578,"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":0.9993000030517578,"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/T11031","display_name":"Game Theory and Applications","score":0.9988999962806702,"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/T12288","display_name":"Optimization and Search Problems","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.7442209124565125},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.7111835479736328},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6615046262741089},{"id":"https://openalex.org/keywords/stochastic-game","display_name":"Stochastic game","score":0.6490520238876343},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.5480121374130249},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5075565576553345},{"id":"https://openalex.org/keywords/competitive-analysis","display_name":"Competitive analysis","score":0.4410395622253418},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4275946617126465},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41952162981033325},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.4192763864994049},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28085845708847046},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.26065129041671753},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2448093593120575},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12073209881782532},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.08339136838912964}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7442209124565125},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.7111835479736328},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6615046262741089},{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.6490520238876343},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.5480121374130249},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5075565576553345},{"id":"https://openalex.org/C102408133","wikidata":"https://www.wikidata.org/wiki/Q5156350","display_name":"Competitive analysis","level":3,"score":0.4410395622253418},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4275946617126465},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41952162981033325},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.4192763864994049},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28085845708847046},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.26065129041671753},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2448093593120575},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12073209881782532},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.08339136838912964},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/wiopt.2017.7959869","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wiopt.2017.7959869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1482710247","https://openalex.org/W1517645949","https://openalex.org/W1599621913","https://openalex.org/W1976058996","https://openalex.org/W1992095006","https://openalex.org/W2000101573","https://openalex.org/W2047961978","https://openalex.org/W2049358615","https://openalex.org/W2080584803","https://openalex.org/W2083562271","https://openalex.org/W2094238774","https://openalex.org/W2109100253","https://openalex.org/W2118174438","https://openalex.org/W2120816958","https://openalex.org/W2144460759","https://openalex.org/W2154964352","https://openalex.org/W2156194062","https://openalex.org/W2164637276","https://openalex.org/W2340648251","https://openalex.org/W2572312519","https://openalex.org/W3032676219","https://openalex.org/W3124798517","https://openalex.org/W3135939364","https://openalex.org/W3141595720","https://openalex.org/W4205424143","https://openalex.org/W4229706427","https://openalex.org/W4232753567","https://openalex.org/W6629021234","https://openalex.org/W6703783823"],"related_works":["https://openalex.org/W4213299358","https://openalex.org/W2564742953","https://openalex.org/W2793095688","https://openalex.org/W1623410360","https://openalex.org/W3115340459","https://openalex.org/W2950803469","https://openalex.org/W2583614279","https://openalex.org/W2004975914","https://openalex.org/W2109659895","https://openalex.org/W1930615501"],"abstract_inverted_index":{"Motivated":[0],"by":[1],"applications":[2],"in":[3,13,101],"competitive":[4],"WiFi":[5],"sensing,":[6],"and":[7,42,57,93],"competition":[8,107],"to":[9,20,52,64,77,94,117,127,129,141,156],"grab":[10],"user":[11],"attention":[12],"social":[14],"networks,":[15],"the":[16,37,54,58,65,79,119,159],"problem":[17],"of":[18,67,73,146],"when":[19],"arrive":[21],"at/sample":[22],"a":[23,49,111,130,143,147],"shared":[24],"resource/server":[25],"platform":[26],"with":[27,36,103],"multiple":[28],"players":[29,99],"is":[30,34,61,76,125,138,154],"considered.":[31],"Server":[32],"activity":[33],"intermittent,":[35],"server":[38,55,80],"switching":[39],"between":[40],"ON":[41,85],"OFF":[43],"periods":[44],"alternatively.":[45],"Each":[46],"player":[47,75],"spends":[48],"certain":[50],"cost":[51,92],"sample":[53,118],"state,":[56],"per-player":[59],"payoff":[60],"inversely":[62],"proportional":[63],"number":[66],"simultaneously":[68],"connected/arrived":[69],"players.":[70],"The":[71,135],"objective":[72],"each":[74,122,150],"arrive/sample":[78],"as":[81,83],"soon":[82],"any":[84],"period":[86],"begins":[87],"while":[88],"incurring":[89],"minimal":[90],"sensing":[91],"avoid":[95],"having":[96],"many":[97],"other":[98],"overlap":[100],"time":[102],"itself.":[104],"For":[105],"this":[106],"model,":[108],"we":[109],"propose":[110],"distributed":[112],"randomized":[113],"learning":[114],"algorithm":[115],"(strategy":[116],"server)":[120],"for":[121],"player,":[123],"which":[124],"shown":[126,140],"converge":[128],"unique":[131],"non-trivial":[132],"fixed":[133,136],"point.":[134],"point":[137],"moreover":[139],"be":[142],"Nash":[144],"equilibrium":[145],"game,":[148],"where":[149],"player's":[151],"utility":[152],"function":[153],"demonstrated":[155],"possess":[157],"all":[158],"required":[160],"selfish":[161],"tradeoffs.":[162]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}