{"id":"https://openalex.org/W2972894440","doi":"https://doi.org/10.1109/tg.2019.2940261","title":"Winning Rate Prediction Model Based on Monte Carlo Tree Search for Computer <i>Dou Dizhu</i>","display_name":"Winning Rate Prediction Model Based on Monte Carlo Tree Search for Computer <i>Dou Dizhu</i>","publication_year":2019,"publication_date":"2019-09-11","ids":{"openalex":"https://openalex.org/W2972894440","doi":"https://doi.org/10.1109/tg.2019.2940261","mag":"2972894440"},"language":"en","primary_location":{"id":"doi:10.1109/tg.2019.2940261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tg.2019.2940261","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/A5070179256","display_name":"Guangyun Tan","orcid":"https://orcid.org/0000-0003-4705-0796"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangyun Tan","raw_affiliation_strings":["Shanghai Qiansi Network Technology Limited Liability Company, Shanghai, China","Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Qiansi Network Technology Limited Liability Company, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101060496","display_name":"Yongyi He","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongyi He","raw_affiliation_strings":["Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084467125","display_name":"Huahu Xu","orcid":"https://orcid.org/0000-0001-8220-1639"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huahu Xu","raw_affiliation_strings":["Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052821722","display_name":"Peipei Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peipei Wei","raw_affiliation_strings":["Shanghai Qiansi Network Technology Limited Liability Company, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Qiansi Network Technology Limited Liability Company, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709379","display_name":"Ping Yi","orcid":"https://orcid.org/0000-0003-4530-5118"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ping Yi","raw_affiliation_strings":["Shanghai Qiansi Network Technology Limited Liability Company, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Qiansi Network Technology Limited Liability Company, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102909162","display_name":"Xinxin Shi","orcid":"https://orcid.org/0009-0001-0759-9584"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinxin Shi","raw_affiliation_strings":["Shanghai Qiansi Network Technology Limited Liability Company, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Qiansi Network Technology Limited Liability Company, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070179256"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65840209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"13","issue":"2","first_page":"123","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9997000098228455,"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/T11705","display_name":"Gambling Behavior and Treatments","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/monte-carlo-tree-search","display_name":"Monte Carlo tree search","score":0.8653455972671509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7953349351882935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5592032670974731},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5379678606987},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5172075033187866},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5117039680480957},{"id":"https://openalex.org/keywords/game-tree","display_name":"Game tree","score":0.4666478633880615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46588578820228577},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.45294755697250366},{"id":"https://openalex.org/keywords/sequential-game","display_name":"Sequential game","score":0.2780206799507141},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.27577972412109375},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0949067771434784},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08530488610267639},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.06923317909240723}],"concepts":[{"id":"https://openalex.org/C46149586","wikidata":"https://www.wikidata.org/wiki/Q11785332","display_name":"Monte Carlo tree search","level":3,"score":0.8653455972671509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7953349351882935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5592032670974731},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5379678606987},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5172075033187866},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5117039680480957},{"id":"https://openalex.org/C95815963","wikidata":"https://www.wikidata.org/wiki/Q1377033","display_name":"Game tree","level":4,"score":0.4666478633880615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46588578820228577},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.45294755697250366},{"id":"https://openalex.org/C73795354","wikidata":"https://www.wikidata.org/wiki/Q287618","display_name":"Sequential game","level":3,"score":0.2780206799507141},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.27577972412109375},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0949067771434784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08530488610267639},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.06923317909240723},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tg.2019.2940261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tg.2019.2940261","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"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":49,"referenced_works":["https://openalex.org/W90993163","https://openalex.org/W1512315140","https://openalex.org/W1540121360","https://openalex.org/W1625390266","https://openalex.org/W1657460081","https://openalex.org/W1974281669","https://openalex.org/W1997840820","https://openalex.org/W2003528492","https://openalex.org/W2013363278","https://openalex.org/W2022573990","https://openalex.org/W2029757490","https://openalex.org/W2064720465","https://openalex.org/W2071674307","https://openalex.org/W2077755260","https://openalex.org/W2087097402","https://openalex.org/W2102509082","https://openalex.org/W2103315867","https://openalex.org/W2104125501","https://openalex.org/W2108953545","https://openalex.org/W2113228754","https://openalex.org/W2122634705","https://openalex.org/W2126316555","https://openalex.org/W2144445939","https://openalex.org/W2145224651","https://openalex.org/W2145339207","https://openalex.org/W2149516936","https://openalex.org/W2150738382","https://openalex.org/W2166481425","https://openalex.org/W2194775991","https://openalex.org/W2217659481","https://openalex.org/W2257979135","https://openalex.org/W2552149088","https://openalex.org/W2574978968","https://openalex.org/W2623293810","https://openalex.org/W2735388789","https://openalex.org/W2763992219","https://openalex.org/W2766447205","https://openalex.org/W3103104966","https://openalex.org/W3105530125","https://openalex.org/W3133768154","https://openalex.org/W4248237392","https://openalex.org/W4255375128","https://openalex.org/W6632284170","https://openalex.org/W6637304439","https://openalex.org/W6666921520","https://openalex.org/W6675509861","https://openalex.org/W6675551245","https://openalex.org/W6688406188","https://openalex.org/W6729774966"],"related_works":["https://openalex.org/W4383535542","https://openalex.org/W3193783858","https://openalex.org/W4383560925","https://openalex.org/W2523674799","https://openalex.org/W2102256448","https://openalex.org/W1973194029","https://openalex.org/W4323526614","https://openalex.org/W2567165815","https://openalex.org/W141627066","https://openalex.org/W2136302345"],"abstract_inverted_index":{"Poker":[0],"is":[1,93],"the":[2,54,60,68,74,80,91,96,121,129,134,142,151,155,159,169,173,199],"typical":[3],"game":[4,20,160,167],"of":[5,21,34,71,124,131,136,176,202],"incomplete":[6],"information,":[7],"and":[8,78,103,105,154,183],"remains":[9],"a":[10,28,41,114,145],"longstanding":[11],"challenge":[12],"problem":[13],"in":[14,31,178,185],"artificial":[15],"intelligence":[16],"(AI).":[17],"The":[18],"poker":[19],"Dou":[22,50,137],"Dizhu":[23,51],"has":[24,144],"been":[25],"viewed":[26],"as":[27,73,95],"thorny":[29],"topic":[30],"AI":[32],"because":[33],"its":[35],"own":[36],"characteristics.":[37],"This":[38],"article":[39],"introduces":[40],"developed":[42],"Monte":[43],"Carlo":[44],"tree":[45],"search":[46],"(MCTS)":[47],"method":[48],"for":[49,101,126],"to":[52,66,82,86,119],"solve":[53],"decision":[55],"making":[56],"effectively.":[57],"We":[58],"built":[59],"winning":[61,69,174],"rate":[62,70,175],"prediction":[63,117],"model":[64,81,118],"(WRPM)":[65],"predict":[67,120],"moves":[72],"initial":[75],"situation":[76],"estimation":[77],"improve":[79],"be":[83],"more":[84],"applicable":[85],"different":[87],"player":[88],"roles.":[89],"Then,":[90],"WRPM":[92],"embedded":[94],"core":[97],"algorithm":[98],"into":[99],"MCTS":[100,153],"extension":[102],"simulation":[104],"named":[106],"it":[107],"WRPM-MCTS.":[108],"In":[109,158],"addition,":[110],"we":[111],"also":[112],"train":[113],"card":[115],"distribution":[116],"holding":[122],"cards":[123],"opponents":[125],"further":[127],"improving":[128],"performance":[130,148],"WRPM-MCTS":[132,143],"on":[133],"agent":[135,171,196],"Dizhu.":[138],"Experiments":[139],"show":[140],"that":[141,194],"statistically":[146],"significant":[147],"better":[149],"than":[150],"pure":[152,156],"WRPM.":[157],"with":[161],"human":[162,191],"players":[163],"from":[164],"an":[165],"online":[166],"platform,":[168],"WRPM-MCTS-based":[170],"had":[172,197],"52.86%":[177],"4":[179],"000":[180,181,190],"games":[182],"ranked":[184],"top":[186],"1.22%":[187],"among":[188],"500":[189],"players,":[192],"indicating":[193],"this":[195],"reached":[198],"expert":[200],"level":[201],"humans.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
