{"created":"2023-05-15T10:00:49.735197+00:00","id":5251,"links":{},"metadata":{"_buckets":{"deposit":"633becf2-99e0-4f9e-bc73-73b589f534e9"},"_deposit":{"created_by":5,"id":"5251","owner":"5","owners":[5],"pid":{"revision_id":0,"type":"depid","value":"5251"},"status":"published"},"_oai":{"id":"oai:miyazaki-u.repo.nii.ac.jp:00005251","sets":["73","73:36","73:36:330","73:36:330:327"]},"author_link":["11805","28453","12201","28456"],"item_10002_alternative_title_1":{"attribute_name":"その他（別言語等）のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"シヤ セイゲン カンキョウ カ デ ノ ツイセキ モンダイ ニ オケル キョウカ ガクシュウ ノ ガクシュウ コウリツ コウジョウ ノット","subitem_alternative_title_language":"ja-Kana"}]},"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2017-07-31","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"316","bibliographicPageStart":"313","bibliographicVolumeNumber":"46","bibliographic_titles":[{"bibliographic_title":"宮崎大学工学部紀要","bibliographic_titleLang":"ja"},{"bibliographic_title":"Memoirs of Faculty of Engineering, University of Miyazaki","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Reinforcement learning is one of the unsupervised machine learning methods. In reinforcement learning, multiagent learning is usually used. In recent years, some researchers try to utilize drones in search of missing persons, but efficiency is not enough for the real world. In this research, we propose a multiple single role agent system which gives some roles for layered agents. Experimental results showed that our method was able to capture the target with 30% faster steps than the conventional method.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"宮崎大学工学部","subitem_publisher_language":"ja"},{"subitem_publisher":"Faculty of Engineering, University of Miyazaki","subitem_publisher_language":"en"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA00732558","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"05404924","subitem_source_identifier_type":"ISSN"}]},"item_10002_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山森, 一人","creatorNameLang":"ja"},{"creatorName":"ヤマモリ, クニヒト","creatorNameLang":"ja-Kana"},{"creatorName":"Yamamori, Kunihito","creatorNameLang":"en"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"吉田, 雅也","creatorNameLang":"ja"},{"creatorName":"ヨシダ, マサヤ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"相川, 勝","creatorNameLang":"ja"},{"creatorName":"アイカワ, マサル","creatorNameLang":"ja-Kana"},{"creatorName":"Aikawa, Masaru","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yoshida, Masaya","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-06-21"}],"displaytype":"detail","filename":"p313.pdf","filesize":[{"value":"1.2 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"本文","url":"https://miyazaki-u.repo.nii.ac.jp/record/5251/files/p313.pdf"},"version_id":"0e8527d7-b6ee-41be-911d-aad28a6d2f95"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Reinforcement learning, Layered agent, Role, Multi agent system","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"視野制限環境下での追跡問題における強化学習の学習効率向上法","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"視野制限環境下での追跡問題における強化学習の学習効率向上法","subitem_title_language":"ja"},{"subitem_title":"Learning Efficiency Improvement of Reinforcement Learning in Restricted View Environment","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"5","path":["73","36","330","327"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2020-06-21"},"publish_date":"2020-06-21","publish_status":"0","recid":"5251","relation_version_is_last":true,"title":["視野制限環境下での追跡問題における強化学習の学習効率向上法"],"weko_creator_id":"5","weko_shared_id":2},"updated":"2023-07-30T05:58:14.248951+00:00"}