{"created":"2025-01-19T01:19:05.009626+00:00","updated":"2025-01-19T15:03:16.425574+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00218735","sets":["1164:5305:10889:10954"]},"path":["10954"],"owner":"44499","recid":"218735","title":["深層学習による圧縮を利用した強力なオセロAIの制作"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-06-25"},"_buckets":{"deposit":"96ff69de-a0da-4cc5-a60a-c75f3f3e878b"},"_deposit":{"id":"218735","pid":{"type":"depid","value":"218735","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"深層学習による圧縮を利用した強力なオセロAIの制作","author_link":["569512"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"深層学習による圧縮を利用した強力なオセロAIの制作"},{"subitem_title":"Mastering Othello with Deep Learning as a Compression","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータ将棋 (2)・オセロ","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-06-25","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"筑波大学理工学群工学システム学類"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"College of Engineering Systems, University of Tsukuba","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/218735/files/IPSJ-GI22048005.pdf","label":"IPSJ-GI22048005.pdf"},"date":[{"dateType":"Available","dateValue":"2024-06-25"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-GI22048005.pdf","filesize":[{"value":"784.3 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":"a2fe5008-ca92-4fdd-a03e-07c37a8f3ff3","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山名, 琢翔"}],"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":"オセロAI(オセロに自動で着手するプログラム)を制作し,計算資源の制約が厳しい世界的なオセロ AI コンテストで世界 1 位になった.コンテストの厳しいコードの文字数制限に対応するため,深層学習を用いた評価パラメータの圧縮を行った.さらに,手法を改善してコンテスト外の一般的なパソコンでも,現時点で世界最強と呼ばれるオセロ AI Edax 4.4 に勝利できるオセロ AI を制作した.本稿では深層学習による評価関数の圧縮に着目し,これら 2 つのオセロ AI における工夫を論じる.","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":"2022-06-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicVolumeNumber":"2022-GI-48"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":218735,"links":{}}