{"id":"https://openalex.org/W3150962190","doi":"https://doi.org/10.1007/s40747-021-00345-6","title":"A game strategy model in the digital curling system based on NFSP","display_name":"A game strategy model in the digital curling system based on NFSP","publication_year":2021,"publication_date":"2021-03-31","ids":{"openalex":"https://openalex.org/W3150962190","doi":"https://doi.org/10.1007/s40747-021-00345-6","mag":"3150962190"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-021-00345-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-021-00345-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00345-6.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00345-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004981667","display_name":"Yuntao Han","orcid":"https://orcid.org/0000-0002-0889-6468"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuntao Han","raw_affiliation_strings":["College of Artificial Intelligence, Beijing Normal University, Beijing, 100875, People\u2019s Republic of China","College of Artificial Intelligence, Beijing Normal University, Beijing, 100875, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Beijing Normal University, Beijing, 100875, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"College of Artificial Intelligence, Beijing Normal University, Beijing, 100875, People's Republic of China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039526753","display_name":"Qibin Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qibin Zhou","raw_affiliation_strings":["College of Artificial Intelligence, Beijing Normal University, Beijing, 100875, People\u2019s Republic of China","College of Artificial Intelligence, Beijing Normal University, Beijing, 100875, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Beijing Normal University, Beijing, 100875, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"College of Artificial Intelligence, Beijing Normal University, Beijing, 100875, People's Republic of China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084694395","display_name":"Fuqing Duan","orcid":"https://orcid.org/0000-0002-3849-8532"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuqing Duan","raw_affiliation_strings":["College of Artificial Intelligence, Beijing Normal University, Beijing, 100875, People\u2019s Republic of China","College of Artificial Intelligence, Beijing Normal University, Beijing, 100875, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Beijing Normal University, Beijing, 100875, People\u2019s Republic of China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"College of Artificial Intelligence, Beijing Normal University, Beijing, 100875, People's Republic of China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004981667"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":2.9599,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.92891416,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"8","issue":"3","first_page":"1857","last_page":"1863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9973999857902527,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9973999857902527,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9940000176429749,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/curling","display_name":"Curling","score":0.8204171657562256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6748256683349609},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5938140153884888},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.5685856342315674},{"id":"https://openalex.org/keywords/game-tree","display_name":"Game tree","score":0.5609066486358643},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5450842380523682},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5100963711738586},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.501889705657959},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4429953396320343},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.43647801876068115},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3988568186759949},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2963586449623108},{"id":"https://openalex.org/keywords/sequential-game","display_name":"Sequential game","score":0.25870567560195923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2088935375213623},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.1243569552898407},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0930507481098175}],"concepts":[{"id":"https://openalex.org/C2777383481","wikidata":"https://www.wikidata.org/wiki/Q5194858","display_name":"Curling","level":2,"score":0.8204171657562256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6748256683349609},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5938140153884888},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.5685856342315674},{"id":"https://openalex.org/C95815963","wikidata":"https://www.wikidata.org/wiki/Q1377033","display_name":"Game tree","level":4,"score":0.5609066486358643},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5450842380523682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5100963711738586},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.501889705657959},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4429953396320343},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.43647801876068115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3988568186759949},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2963586449623108},{"id":"https://openalex.org/C73795354","wikidata":"https://www.wikidata.org/wiki/Q287618","display_name":"Sequential game","level":3,"score":0.25870567560195923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2088935375213623},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.1243569552898407},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0930507481098175},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s40747-021-00345-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-021-00345-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00345-6.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s40747-021-00345-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-021-00345-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00345-6.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3150962190.pdf","grobid_xml":"https://content.openalex.org/works/W3150962190.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1625390266","https://openalex.org/W1757796397","https://openalex.org/W1946744456","https://openalex.org/W1958962762","https://openalex.org/W1990459023","https://openalex.org/W2009994386","https://openalex.org/W2103315867","https://openalex.org/W2136096971","https://openalex.org/W2215378786","https://openalex.org/W2404399993","https://openalex.org/W2474390980","https://openalex.org/W2576239431","https://openalex.org/W2775922954","https://openalex.org/W2803683443","https://openalex.org/W2829507893","https://openalex.org/W2911565325","https://openalex.org/W4294576339","https://openalex.org/W6609795279","https://openalex.org/W6814003322"],"related_works":["https://openalex.org/W146737111","https://openalex.org/W4312141693","https://openalex.org/W1536009559","https://openalex.org/W1969185016","https://openalex.org/W2103821767","https://openalex.org/W2111030377","https://openalex.org/W2037619003","https://openalex.org/W2147457200","https://openalex.org/W2951010164","https://openalex.org/W2032349632"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"digital":[2,57],"curling":[3,58],"game":[4,10,35,80],"is":[5],"a":[6,12],"two-player":[7],"zero-sum":[8],"extensive":[9],"in":[11,83],"continuous":[13,84],"action":[14,85],"space.":[15,86],"There":[16],"are":[17,22],"some":[18],"challenging":[19],"problems":[20],"that":[21],"still":[23],"not":[24],"solved":[25],"well,":[26],"such":[27],"as":[28],"the":[29,33,39,101,106,111],"uncertainty":[30],"of":[31,41,44],"strategy,":[32],"large":[34,42,79],"tree":[36,81],"searching,":[37],"and":[38,54,67,73,104],"use":[40],"amounts":[43],"supervised":[45,71],"data,":[46,72],"etc.":[47],"In":[48],"this":[49],"work,":[50],"we":[51],"combine":[52],"NFSP":[53,61],"KR-UCT":[55,74],"for":[56,78],"games,":[59],"where":[60],"uses":[62],"two":[63,89],"adversary":[64],"learning":[65,95],"networks":[66],"can":[68,75,109],"automatically":[69],"produce":[70],"be":[76],"used":[77],"searching":[82],"We":[87],"propose":[88],"reward":[90],"mechanisms":[91],"to":[92],"make":[93],"reinforcement":[94],"converge":[96],"quickly.":[97],"Experimental":[98],"results":[99],"validate":[100],"proposed":[102],"method,":[103],"show":[105],"strategy":[107],"model":[108],"reach":[110],"Nash":[112],"equilibrium.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
