{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00186100","sets":["1164:5305:9416:9417"]},"path":["9417"],"owner":"11","recid":"186100","title":["Fuegoにおける展開済みノードを用いたLGRFの評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-02-23"},"_buckets":{"deposit":"48ecdff4-7bf5-4929-b82c-5749ea127b08"},"_deposit":{"id":"186100","pid":{"type":"depid","value":"186100","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Fuegoにおける展開済みノードを用いたLGRFの評価","author_link":["416132","416133","416130","416128","416131","416129"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Fuegoにおける展開済みノードを用いたLGRFの評価"},{"subitem_title":"Evaluation of Fuego with LGRF Using the Expanded Nodes","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"完全情報ゲームのヒューリスティック探索","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-02-23","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"千葉工業大学"},{"subitem_text_value":"千葉工業大学情報科研究科情報科学専攻"},{"subitem_text_value":"千葉工業大学情報科学部情報工学科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Chiba Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information and Computer Science, Chiba Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science, Chiba Institute of Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/186100/files/IPSJ-GI18039002.pdf","label":"IPSJ-GI18039002.pdf"},"date":[{"dateType":"Available","dateValue":"2020-02-23"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-GI18039002.pdf","filesize":[{"value":"330.9 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"18"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"83e0ed5f-6893-4c82-b140-942a4b95173c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"中村, あすか"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"富永, 浩文"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"前川, 仁孝"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Asuka, Nakamura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hirobumi, Tominaga","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yoshitaka, Maekawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11362144","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8736","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では,モンテカルロ木探索を用いたオープンソースの囲碁プログラムである fuego の勝率を向上することを目的とする.Fuego は,モンテカルロ木探索を用いて着手を決定するため,LGRF (Last-Good-Reply with Forgetting) によるプレイアウト精度の向上が期待できる.LGRF を適用した Fuego は,プレイアウト中の応手のみを LGRF テーブルに記憶するため,好手でない着手を LGFT テーブルに記憶する場合がある.そこで,提案する手法では,好手である可能性の高い着手を LGRF テーブルに記憶するために,展開済みノード情報を利用する.提案手法である LGRF / EN (LGRF / Expanded Node) は,展開済みノードの応手を EN テーブルに記憶する.これにより本手法のプレイアウトは,展開済みノードの応手と LGRF テーブルの応手を着手するため,ランダムに決定する着手を削減することができる.評価の結果,提案手法は Fuego に対して,1 手あたりの探索時間を 10 秒とした対局において約 62% の勝率を得られることが確認できた.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告ゲーム情報学(GI)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2018-02-23","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2018-GI-39"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":186100,"updated":"2025-01-20T02:42:27.823776+00:00","links":{},"created":"2025-01-19T00:53:09.182529+00:00"}