{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:02000231","sets":["1164:4402:1739411957239:1739591727747"]},"path":["1739591727747"],"owner":"80578","recid":"2000231","title":["異種マルチエージェント環境における深層強化学習を用いた協調行動獲得"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-02-11"},"_buckets":{"deposit":"c634de44-3aa2-4b80-9f69-b6bea66fede8"},"_deposit":{"id":"2000231","pid":{"type":"depid","value":"2000231","revision_id":0},"owners":[80578],"status":"published","created_by":80578},"item_title":"異種マルチエージェント環境における深層強化学習を用いた協調行動獲得","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"異種マルチエージェント環境における深層強化学習を用いた協調行動獲得","subitem_title_language":"ja"},{"subitem_title":"Acquisition of cooperative behavior using deep reinforcement learning in a heterogeneous multi-agent environment","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2025-02-11","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"中部大学"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Chubu University","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya 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/2000231/files/IPSJ-ICS25216013.pdf","label":"IPSJ-ICS25216013.pdf"},"date":[{"dateType":"Available","dateValue":"2027-02-11"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ICS25216013.pdf","filesize":[{"value":"2.3 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"25"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"a725e67f-8b75-47d2-8430-90daa5992962","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2025 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"薄,佑太"}]},{"creatorNames":[{"creatorName":"森山,甲一"}]},{"creatorNames":[{"creatorName":"武藤,敦子"}]},{"creatorNames":[{"creatorName":"松井,藤五郎"}]},{"creatorNames":[{"creatorName":"島,孔介"}]},{"creatorNames":[{"creatorName":"犬塚,信博"}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11135936","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":"2188-885X","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"異種マルチエージェントの物理ベース協力型ゲームGeometry Friendsにおける協力行動は，これまで事前に設計された規則が用いられてきたが，状態表現を工夫し表形式の強化学習手法で学習が可能となった．しかし，状態表現は設計者の経験則から設定するため，それが最良のものであるとは限らない．本研究では深層強化学習を用い，状態表現を設計者が定義することなく，自律的に最適な協力行動の獲得を目指す．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告知能システム（ICS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2025-02-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"13","bibliographicVolumeNumber":"2025-ICS-216"}]},"relation_version_is_last":true,"weko_creator_id":"80578"},"id":2000231,"updated":"2025-02-15T04:40:30.261840+00:00","links":{},"created":"2025-02-15T04:40:25.536854+00:00"}