{"id":"https://openalex.org/W2101903771","doi":"https://doi.org/10.1109/cig.2008.5035641","title":"An Othello evaluation function based on Temporal Difference Learning using probability of winning","display_name":"An Othello evaluation function based on Temporal Difference Learning using probability of winning","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2101903771","doi":"https://doi.org/10.1109/cig.2008.5035641","mag":"2101903771"},"language":"en","primary_location":{"id":"doi:10.1109/cig.2008.5035641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2008.5035641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Symposium On Computational Intelligence and Games","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/A5082399112","display_name":"Yasuhiro Osaki","orcid":"https://orcid.org/0000-0003-0028-1343"},"institutions":[{"id":"https://openalex.org/I127317711","display_name":"Tokyo University of Agriculture","ror":"https://ror.org/05crbcr45","country_code":"JP","type":"education","lineage":["https://openalex.org/I127317711"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuhiro Osaki","raw_affiliation_strings":["Department of Computer and Information Sciences Graduate school of Technology, Tokyo University of Agriculture\uc2a0and\uc2a0Technology, Koganei, Tokyo, Japan","Dept. of Comput. & Inf. Sci., Tokyo Univ. of Agric. & Technol., Koganei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences Graduate school of Technology, Tokyo University of Agriculture\uc2a0and\uc2a0Technology, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I127317711"]},{"raw_affiliation_string":"Dept. of Comput. & Inf. Sci., Tokyo Univ. of Agric. & Technol., Koganei","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061642543","display_name":"Kazutomo Shibahara","orcid":null},"institutions":[{"id":"https://openalex.org/I127317711","display_name":"Tokyo University of Agriculture","ror":"https://ror.org/05crbcr45","country_code":"JP","type":"education","lineage":["https://openalex.org/I127317711"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazutomo Shibahara","raw_affiliation_strings":["Department of Computer and Information Sciences, Tokyo University of Agriculture\uc2a0and\uc2a0Technology, Koganei, Tokyo, Japan","Dept. of Comput. & Inf. Sci., Tokyo Univ. of Agric. & Technol., Koganei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Tokyo University of Agriculture\uc2a0and\uc2a0Technology, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I127317711"]},{"raw_affiliation_string":"Dept. of Comput. & Inf. Sci., Tokyo Univ. of Agric. & Technol., Koganei","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108585747","display_name":"Yasuhiro Tajima","orcid":null},"institutions":[{"id":"https://openalex.org/I127317711","display_name":"Tokyo University of Agriculture","ror":"https://ror.org/05crbcr45","country_code":"JP","type":"education","lineage":["https://openalex.org/I127317711"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuhiro Tajima","raw_affiliation_strings":["Department of Computer and Information Sciences, Tokyo University of Agriculture\uc2a0and\uc2a0Technology, Koganei, Tokyo, Japan","Dept. of Comput. & Inf. Sci., Tokyo Univ. of Agric. & Technol., Koganei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Tokyo University of Agriculture\uc2a0and\uc2a0Technology, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I127317711"]},{"raw_affiliation_string":"Dept. of Comput. & Inf. Sci., Tokyo Univ. of Agric. & Technol., Koganei","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113755525","display_name":"Yoshiyuki Kotani","orcid":null},"institutions":[{"id":"https://openalex.org/I127317711","display_name":"Tokyo University of Agriculture","ror":"https://ror.org/05crbcr45","country_code":"JP","type":"education","lineage":["https://openalex.org/I127317711"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiyuki Kotani","raw_affiliation_strings":["Department of Computer and Information Sciences, Tokyo University of Agriculture\uc2a0and\uc2a0Technology, Koganei, Tokyo, Japan","Dept. of Comput. & Inf. Sci., Tokyo Univ. of Agric. & Technol., Koganei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Tokyo University of Agriculture\uc2a0and\uc2a0Technology, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I127317711"]},{"raw_affiliation_string":"Dept. of Comput. & Inf. Sci., Tokyo Univ. of Agric. & Technol., Koganei","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5878,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78919655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"205","last_page":"211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9847000241279602,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9847000241279602,"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":0.9674999713897705,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9553999900817871,"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-method","display_name":"Monte Carlo method","score":0.6810984015464783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6103858947753906},{"id":"https://openalex.org/keywords/temporal-difference-learning","display_name":"Temporal difference learning","score":0.5635088682174683},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.519122302532196},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4966290593147278},{"id":"https://openalex.org/keywords/lambda","display_name":"Lambda","score":0.49238646030426025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4795112907886505},{"id":"https://openalex.org/keywords/observable","display_name":"Observable","score":0.4127788543701172},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36587125062942505},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32790470123291016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28952449560165405},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24158847332000732},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06630745530128479}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6810984015464783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6103858947753906},{"id":"https://openalex.org/C196340769","wikidata":"https://www.wikidata.org/wiki/Q7698910","display_name":"Temporal difference learning","level":3,"score":0.5635088682174683},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.519122302532196},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4966290593147278},{"id":"https://openalex.org/C2778113609","wikidata":"https://www.wikidata.org/wiki/Q10897","display_name":"Lambda","level":2,"score":0.49238646030426025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4795112907886505},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.4127788543701172},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36587125062942505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32790470123291016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28952449560165405},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24158847332000732},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06630745530128479},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cig.2008.5035641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2008.5035641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Symposium On Computational Intelligence and Games","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W103174825","https://openalex.org/W1500868819","https://openalex.org/W1888434271","https://openalex.org/W2061339652","https://openalex.org/W2072701327","https://openalex.org/W2131600418","https://openalex.org/W2787259794","https://openalex.org/W3041202696","https://openalex.org/W4214717370","https://openalex.org/W6630013472"],"related_works":["https://openalex.org/W4400868993","https://openalex.org/W2145363145","https://openalex.org/W2341346307","https://openalex.org/W2154399718","https://openalex.org/W4321463377","https://openalex.org/W4384574988","https://openalex.org/W2768629321","https://openalex.org/W1914583973","https://openalex.org/W2130711276","https://openalex.org/W4308828368"],"abstract_inverted_index":{"This":[0,59],"paper":[1],"presents":[2],"a":[3,19,107],"new":[4],"reinforcement":[5],"learning":[6,11,121],"method,":[7],"called":[8],"temporal":[9],"difference":[10],"with":[12,78],"Monte":[13,98],"Carlo":[14,99],"simulation":[15],"(TDMC),":[16],"which":[17],"uses":[18],"combination":[20],"of":[21,53],"Temporal":[22],"Difference":[23],"Learning":[24],"(TD)":[25],"and":[26],"winning":[27,94],"probability":[28],"in":[29,71,83,111],"each":[30],"non-terminal":[31,84],"position.":[32],"Studies":[33],"on":[34],"self-teaching":[35],"evaluation":[36],"functions":[37],"as":[38,101,106],"applied":[39],"to":[40,63,88,113,118],"logic":[41,72],"games":[42,73],"have":[43,56],"been":[44,57,116],"conducted":[45],"for":[46],"many":[47],"years,":[48],"however":[49],"few":[50],"successful":[51],"results":[52],"employing":[54],"TD":[55],"reported.":[58],"is":[60,74],"perhaps":[61],"due":[62],"the":[64,67],"fact":[65],"that":[66],"only":[68],"reward":[69],"observable":[70],"their":[75],"final":[76],"outcome,":[77],"no":[79],"obvious":[80],"rewards":[81],"present":[82],"positions.":[85],"TDMC(lambda)":[86],"attempts":[87],"compensate":[89],"this":[90],"problem":[91],"by":[92],"introducing":[93],"probabilities,":[95],"obtained":[96],"through":[97],"simulation,":[100],"substitute":[102],"rewards.":[103],"Using":[104],"Othello":[105],"testing":[108],"environment,":[109],"TDMC(lambda),":[110],"comparison":[112],"TD(lambda),":[114],"has":[115],"seen":[117],"yield":[119],"better":[120],"results.":[122]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}