{"updated":"2025-01-19T17:09:58.680007+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00213425","sets":["6164:6165:6210:10734"]},"path":["10734"],"owner":"44499","recid":"213425","title":["将棋の駒落ちの強化学習"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-11-06"},"_buckets":{"deposit":"45ec6dd3-2fff-4f4f-8290-6831ddb25078"},"_deposit":{"id":"213425","pid":{"type":"depid","value":"213425","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"将棋の駒落ちの強化学習","author_link":["546092","546091"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"将棋の駒落ちの強化学習"},{"subitem_title":"Reinforcement Learning for Shogi Handicap Games","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"将棋","subitem_subject_scheme":"Other"},{"subitem_subject":"駒落ち","subitem_subject_scheme":"Other"},{"subitem_subject":"強化学習","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2021-11-06","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/213425/files/IPSJ-GPWS2021004.pdf","label":"IPSJ-GPWS2021004.pdf"},"date":[{"dateType":"Available","dateValue":"2021-11-06"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-GPWS2021004.pdf","filesize":[{"value":"1.7 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"18"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"2b232137-26d4-4993-bf8d-83410d811ee9","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山下, 宏"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hioshi, Yamashita","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"将棋の駒落ちを人間の知識なしでゼロから深層強化学習した。6 種類の駒落ち (香落、角落、飛落、2 枚落、4 枚落、6 枚落) と平手、の合計 7 種類を同時に学習し、勝率は 5 割になるように下手 (先手) の強さを自動調節した。980 万棋譜を自己対戦で作成した結果、平手から 6 枚落ちまで、上手、下手、どちらを持っても高段者レベルの着手を返す AI ができた。","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We have developed deep reinforcement learning for Shogi handicap games without human knowledge. Handicaps are seven kinds. Lance(kyo ochi), Bishop(kaku ochi), Rook(hisha ochi), 2-Piece(ni-mai ochi), 4-Piece(yon-mai ochi), 6-Pieces(roku-mai ochi) and No handicap(hirate). Winrate are adjusted to keep 0.5 by weakening Black(shitate or sente) player strength. As a result of creating 9.8 million self-play games, AI could play reasonable moves at the level of a high dan player from No handicap to 6-Piece.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"27","bibliographic_titles":[{"bibliographic_title":"ゲームプログラミングワークショップ2021論文集"}],"bibliographicPageStart":"20","bibliographicIssueDates":{"bibliographicIssueDate":"2021-11-06","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:14:18.246877+00:00","id":213425,"links":{}}