{"id":"https://openalex.org/W4400447683","doi":"https://doi.org/10.1109/tg.2024.3424246","title":"Bidding Efficiently in Simultaneous Ascending Auctions With Budget and Eligibility Constraints Using Simultaneous Move Monte Carlo Tree Search","display_name":"Bidding Efficiently in Simultaneous Ascending Auctions With Budget and Eligibility Constraints Using Simultaneous Move Monte Carlo Tree Search","publication_year":2024,"publication_date":"2024-07-09","ids":{"openalex":"https://openalex.org/W4400447683","doi":"https://doi.org/10.1109/tg.2024.3424246"},"language":"en","primary_location":{"id":"doi:10.1109/tg.2024.3424246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tg.2024.3424246","pdf_url":null,"source":{"id":"https://openalex.org/S4210224842","display_name":"IEEE Transactions on Games","issn_l":"2475-1502","issn":["2475-1502","2475-1510"],"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 Games","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/A5090669860","display_name":"Alexandre Pacaud","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexandre Pacaud","raw_affiliation_strings":["Orange Innovation, Ch&#x00E2;tillon, France","Orange Labs, France"],"raw_orcid":"https://orcid.org/0009-0004-8380-0755","affiliations":[{"raw_affiliation_string":"Orange Innovation, Ch&#x00E2;tillon, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"Orange Labs, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032499344","display_name":"Aur\u00e9lien Bechler","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Aurelien Bechler","raw_affiliation_strings":["Orange Innovation, Ch&#x00E2;tillon, France","Orange Labs, France"],"raw_orcid":"https://orcid.org/0009-0003-0119-891X","affiliations":[{"raw_affiliation_string":"Orange Innovation, Ch&#x00E2;tillon, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"Orange Labs, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046008934","display_name":"Marceau Coupechoux","orcid":"https://orcid.org/0000-0003-0744-319X"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marceau Coupechoux","raw_affiliation_strings":["LTCI, Telecom Paris, Institut Polytechnique de Paris, Palaiseau, France","LTCI, Telecom Paris, Institut Polytechnique de Paris, France"],"raw_orcid":"https://orcid.org/0000-0003-0744-319X","affiliations":[{"raw_affiliation_string":"LTCI, Telecom Paris, Institut Polytechnique de Paris, Palaiseau, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I4210165912"]},{"raw_affiliation_string":"LTCI, Telecom Paris, Institut Polytechnique de Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I4210165912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.047,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78047335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"17","issue":"1","first_page":"210","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9972000122070312,"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/T11182","display_name":"Auction Theory and Applications","score":0.9972000122070312,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bidding","display_name":"Bidding","score":0.8008040189743042},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.7700190544128418},{"id":"https://openalex.org/keywords/common-value-auction","display_name":"Common value auction","score":0.6537873148918152},{"id":"https://openalex.org/keywords/monte-carlo-tree-search","display_name":"Monte Carlo tree search","score":0.5714730620384216},{"id":"https://openalex.org/keywords/budget-constraint","display_name":"Budget constraint","score":0.48066961765289307},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4711818993091583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3555203080177307},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.30536949634552},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.23127058148384094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19797620177268982},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11837491393089294}],"concepts":[{"id":"https://openalex.org/C9233905","wikidata":"https://www.wikidata.org/wiki/Q3276328","display_name":"Bidding","level":2,"score":0.8008040189743042},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.7700190544128418},{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.6537873148918152},{"id":"https://openalex.org/C46149586","wikidata":"https://www.wikidata.org/wiki/Q11785332","display_name":"Monte Carlo tree search","level":3,"score":0.5714730620384216},{"id":"https://openalex.org/C8505890","wikidata":"https://www.wikidata.org/wiki/Q605095","display_name":"Budget constraint","level":2,"score":0.48066961765289307},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4711818993091583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3555203080177307},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.30536949634552},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.23127058148384094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19797620177268982},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11837491393089294},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tg.2024.3424246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tg.2024.3424246","pdf_url":null,"source":{"id":"https://openalex.org/S4210224842","display_name":"IEEE Transactions on Games","issn_l":"2475-1502","issn":["2475-1502","2475-1510"],"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 Games","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04998030v1","is_oa":false,"landing_page_url":"https://telecom-paris.hal.science/hal-04998030","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Games, 2025, 17 (1), pp.210-223. &#x27E8;10.1109/TG.2024.3424246&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W190065572","https://openalex.org/W1549789182","https://openalex.org/W1625390266","https://openalex.org/W1973966828","https://openalex.org/W1994685255","https://openalex.org/W2020140573","https://openalex.org/W2056207419","https://openalex.org/W2076345406","https://openalex.org/W2101432859","https://openalex.org/W2109793159","https://openalex.org/W2113228754","https://openalex.org/W2114415375","https://openalex.org/W2136841155","https://openalex.org/W2140365369","https://openalex.org/W2141481921","https://openalex.org/W2162271938","https://openalex.org/W2322232506","https://openalex.org/W2794254934","https://openalex.org/W2902907165","https://openalex.org/W2962711478","https://openalex.org/W3121348236","https://openalex.org/W3123986615","https://openalex.org/W4206483639","https://openalex.org/W4231630517","https://openalex.org/W4251525635","https://openalex.org/W4285796263","https://openalex.org/W4299335686","https://openalex.org/W4308090465","https://openalex.org/W4400447683"],"related_works":["https://openalex.org/W2355561715","https://openalex.org/W2355326491","https://openalex.org/W2389286292","https://openalex.org/W2360751371","https://openalex.org/W2147694495","https://openalex.org/W1984203460","https://openalex.org/W1995388959","https://openalex.org/W1562320220","https://openalex.org/W2532780566","https://openalex.org/W2045432319"],"abstract_inverted_index":{"For":[0],"decades,":[1],"simultaneous":[2,80,117],"ascending":[3],"auction":[4,77],"(SAA)":[5],"has":[6,17],"been":[7,19],"the":[8,25,44,51,76,88,130,144],"most":[9],"popular":[10],"mechanism":[11],"used":[12],"for":[13,24,42,129],"spectrum":[14],"auctions.":[15],"It":[16],"recently":[18],"employed":[20],"by":[21,171],"many":[22],"countries":[23],"allocation":[26],"of":[27,56,132,153,161],"5G":[28],"licences.":[29],"Although":[30],"SAA":[31],"presents":[32],"relatively":[33],"simple":[34],"rules,":[35],"it":[36],"induces":[37],"a":[38,126,137],"complex":[39],"strategic":[40,99],"game":[41,82],"which":[43],"optimal":[45],"bidding":[46,67,91],"strategy":[47,68],"is":[48,69,114],"unknown.":[49],"Considering":[50],"fact":[52],"that":[53,93],"sometimes":[54],"billions":[55],"euros":[57],"are":[58],"at":[59],"stake":[60],"in":[61],"an":[62,65],"SAA,":[63],"establishing":[64],"efficient":[66,90],"crucial.":[70],"In":[71],"this":[72],"work,":[73],"we":[74,142,164],"model":[75],"as":[78],"a$n$-player":[79],"move":[81,118],"with":[83],"complete":[84],"information":[85],"and":[86,107,123],"propose":[87],"first":[89],"algorithm":[92],"tackles":[94],"simultaneously":[95],"its":[96],"four":[97],"major":[98],"issues:":[100],"theexposure":[101],"problem,":[102],"theown":[103],"price":[104],"effect,budget":[105],"constraints,":[106],"theeligibility":[108],"management":[109],"problem.":[110],"Our":[111],"solution,":[112],"called$\\text{SMS}^\\alpha$,":[113],"based":[115],"on":[116,125,159],"Monte":[119],"Carlo":[120],"Tree":[121],"Search":[122],"relies":[124],"new":[127,138],"method":[128],"prediction":[131],"closing":[133],"prices.":[134],"By":[135],"introducing":[136],"reward":[139],"function":[140],"in$SMS^\\alpha$,":[141],"give":[143],"possibility":[145],"to":[146,148],"bidders":[147],"define":[149],"their":[150],"own":[151],"level":[152],"risk-aversion.":[154],"Through":[155],"extensive":[156],"numerical":[157],"experiments":[158],"instances":[160],"realistic":[162],"size,":[163],"show":[165],"that$\\text{SMS}^\\alpha$largely":[166],"outperforms":[167],"state-of-the-art":[168],"algorithms,":[169],"notably":[170],"achieving":[172],"higher":[173],"expected":[174],"utility":[175],"while":[176],"taking":[177],"less":[178],"risks.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
