{"id":"https://openalex.org/W2946481965","doi":"https://doi.org/10.3233/jifs-179052","title":"A comparison between UCB and UCB-Tuned as selection policies in GGP","display_name":"A comparison between UCB and UCB-Tuned as selection policies in GGP","publication_year":2019,"publication_date":"2019-05-14","ids":{"openalex":"https://openalex.org/W2946481965","doi":"https://doi.org/10.3233/jifs-179052","mag":"2946481965"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-179052","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179052","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5043167799","display_name":"Iv\u00e1n Francisco-Valencia","orcid":"https://orcid.org/0000-0002-8736-4338"},"institutions":[{"id":"https://openalex.org/I179647637","display_name":"Universidad Aut\u00f3noma del Estado de M\u00e9xico","ror":"https://ror.org/0079gpv38","country_code":"MX","type":"education","lineage":["https://openalex.org/I179647637"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Iv\u00e1n Francisco-Valencia","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma del Estado de M\u00e9xico, Cerro de Coatepec S/N Ciudad Universitaria C.P. 50100. Toluca, Estado de M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma del Estado de M\u00e9xico, Cerro de Coatepec S/N Ciudad Universitaria C.P. 50100. Toluca, Estado de M\u00e9xico","institution_ids":["https://openalex.org/I179647637"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017961941","display_name":"J. Raymundo Marcial\u2010Romero","orcid":"https://orcid.org/0000-0002-5808-5727"},"institutions":[{"id":"https://openalex.org/I179647637","display_name":"Universidad Aut\u00f3noma del Estado de M\u00e9xico","ror":"https://ror.org/0079gpv38","country_code":"MX","type":"education","lineage":["https://openalex.org/I179647637"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Raymundo Marcial-Romero","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma del Estado de M\u00e9xico, Cerro de Coatepec S/N Ciudad Universitaria C.P. 50100. Toluca, Estado de M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma del Estado de M\u00e9xico, Cerro de Coatepec S/N Ciudad Universitaria C.P. 50100. Toluca, Estado de M\u00e9xico","institution_ids":["https://openalex.org/I179647637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005874427","display_name":"Rosa Mar\u00eda Valdovinos Rosas","orcid":"https://orcid.org/0000-0001-9954-0653"},"institutions":[{"id":"https://openalex.org/I179647637","display_name":"Universidad Aut\u00f3noma del Estado de M\u00e9xico","ror":"https://ror.org/0079gpv38","country_code":"MX","type":"education","lineage":["https://openalex.org/I179647637"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Rosa Mar\u00eda Valdovinos-Rosas","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma del Estado de M\u00e9xico, Cerro de Coatepec S/N Ciudad Universitaria C.P. 50100. Toluca, Estado de M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma del Estado de M\u00e9xico, Cerro de Coatepec S/N Ciudad Universitaria C.P. 50100. Toluca, Estado de M\u00e9xico","institution_ids":["https://openalex.org/I179647637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043167799"],"corresponding_institution_ids":["https://openalex.org/I179647637"],"apc_list":null,"apc_paid":null,"fwci":1.5402,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87192272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"36","issue":"5","first_page":"5073","last_page":"5079"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9961000084877014,"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":0.9932000041007996,"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/computer-science","display_name":"Computer science","score":0.6886720657348633},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6788702011108398},{"id":"https://openalex.org/keywords/monte-carlo-tree-search","display_name":"Monte Carlo tree search","score":0.6719119548797607},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6443975567817688},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5862941145896912},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.47510087490081787},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44279178977012634},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42564767599105835},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4191751480102539},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36178284883499146},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32963043451309204},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1742454171180725},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16491979360580444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1475050449371338}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6886720657348633},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6788702011108398},{"id":"https://openalex.org/C46149586","wikidata":"https://www.wikidata.org/wiki/Q11785332","display_name":"Monte Carlo tree search","level":3,"score":0.6719119548797607},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6443975567817688},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5862941145896912},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.47510087490081787},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44279178977012634},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42564767599105835},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4191751480102539},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36178284883499146},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32963043451309204},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1742454171180725},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16491979360580444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1475050449371338},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-179052","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179052","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W332195970","https://openalex.org/W1510812122","https://openalex.org/W1547132963","https://openalex.org/W1636614024","https://openalex.org/W1944205345","https://openalex.org/W1995987707","https://openalex.org/W2048751428","https://openalex.org/W2073107347","https://openalex.org/W2099587183","https://openalex.org/W2122659384","https://openalex.org/W2126316555","https://openalex.org/W2168405694","https://openalex.org/W2395167953","https://openalex.org/W2406176378","https://openalex.org/W2466732996","https://openalex.org/W2794995252","https://openalex.org/W2911296969","https://openalex.org/W4301654628","https://openalex.org/W6636830426","https://openalex.org/W6640716383"],"related_works":["https://openalex.org/W4226164546","https://openalex.org/W3171665292","https://openalex.org/W2303512055","https://openalex.org/W2039388087","https://openalex.org/W2606073172","https://openalex.org/W2125356288","https://openalex.org/W2128302072","https://openalex.org/W2970622411","https://openalex.org/W2623347760","https://openalex.org/W3006271498"],"abstract_inverted_index":{"In":[0,61],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,51],"comparative":[6],"analysis":[7,33],"of":[8,31,45,56,102],"two":[9,68],"selection":[10],"policies":[11,128],"in":[12,43,47,54,119],"the":[13,32,40,48,66,73,77,100],"General":[14],"Game":[15],"Playing":[16],"(GGP)":[17],"context:":[18],"Upper":[19,24],"Confidence":[20,25],"Bound":[21,26],"(UCB)":[22],"and":[23,76,88],"Tuned":[27],"(UCB-Tuned).":[28],"The":[29,84,105],"aim":[30],"is":[34,110],"to":[35,63,99],"identify":[36],"which":[37],"policy":[38],"has":[39],"best":[41,101],"performance":[42],"terms":[44],"victories":[46],"GGP":[49],"domain,":[50],"measure":[52],"used":[53,92,118],"most":[55],"literature":[57],"with":[58],"other":[59],"policies.":[60],"order":[62],"carry":[64],"out":[65],"comparison,":[67],"agents":[69],"were":[70,91],"programmed":[71],"using":[72],"GGP-base":[74],"framework":[75],"Monte":[78],"Carlo":[79],"Tree":[80],"Search":[81],"(MCTS)":[82],"method.":[83],"games":[85],"Breakthrough,":[86],"Knightthrough":[87],"Connect":[89],"Four":[90],"as":[93],"experimental":[94],"scenarios,":[95],"not":[96],"compared":[97],"previously":[98],"our":[103],"knowledge.":[104],"results":[106],"show":[107],"that":[108],"UCB-Tuned":[109],"better":[111],"when":[112,122],"less":[113],"than":[114],"100":[115],"simulations":[116,124],"are":[117,125],"MCTS;":[120],"however,":[121],"1000":[123],"used,":[126],"both":[127],"have":[129],"similar":[130],"performance.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}