{"created":"2025-01-19T01:29:32.406216+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230026","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230026","title":["入れ子型並列交渉問題のためのDeep Deterministic Policy Gradient"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"710631b3-ce85-4eed-9832-9d2cf71d4d80"},"_deposit":{"id":"230026","pid":{"type":"depid","value":"230026","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"入れ子型並列交渉問題のためのDeep Deterministic Policy Gradient","author_link":["618856","618857"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"入れ子型並列交渉問題のためのDeep Deterministic Policy Gradient"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"農工大"},{"subitem_text_value":"農工大"}]},"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/230026/files/IPSJ-Z85-6S-08.pdf","label":"IPSJ-Z85-6S-08.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-6S-08.pdf","filesize":[{"value":"277.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"98a01b9e-f3bd-4c92-b8bd-d725d11dcd1b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"荒川, 亮太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"藤田, 桂英"}],"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_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"自動交渉の分野では，強化学習を利用して交渉戦略を獲得する研究が進められている．このような研究では，主に1対1の交渉を扱っている．自動交渉をサプライチェーンマネジメントに応用する場合，供給側と需要側の2方向に対して同時に交渉する入れ子型並列交渉を行う必要がある．このような交渉問題では，2方向の交渉を同時に考慮しながら行動選択を行う必要がある．本研究では，入れ子型並列交渉を適切に行う戦略をDeep Deterministic Policy Gradientによって獲得する．並列に行われる交渉の学習器の一部を共有することにより，効果的に学習可能なフレームワークを提案する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"464","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"463","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230026,"updated":"2025-01-19T11:19:11.974341+00:00","links":{}}