{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235984","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"235984","title":["マルチエージェント強化学習を用いた効率的未踏領域探査のための共有情報の比較"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"72e16e92-6bce-4c15-87f3-9db5ee4ba3a6"},"_deposit":{"id":"235984","pid":{"type":"depid","value":"235984","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"マルチエージェント強化学習を用いた効率的未踏領域探査のための共有情報の比較","author_link":["644908","644909"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"マルチエージェント強化学習を用いた効率的未踏領域探査のための共有情報の比較"}]},"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":"2024-03-01","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":"兵庫県大"},{"subitem_text_value":"兵庫県大"}]},"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/235984/files/IPSJ-Z86-2Q-06.pdf","label":"IPSJ-Z86-2Q-06.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-2Q-06.pdf","filesize":[{"value":"255.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"9c720382-e99e-48b8-946c-9ba283fbd5a5","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"野中, 和典"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"川嶋, 宏彰"}],"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":"知能ロボットによる未知の領域の探査は，惑星調査やレスキューなど様々な分野において重要なタスクである．近年，複数ロボットによる探査では，マルチエージェント深層強化学習(MARL)を用いたアプローチが主流となっている．一方で，これらMARLを用いた探査においては，各個体がどのような観測情報を持ち，交換すると効率的に探査できるのかは未だ明らかではない．本研究では，各エージェントが探査することによって得る地図情報や，そのほかの観測情報，通信によって互いに共有する情報の組み合わせを複数パターン用意し，探査効率を比較することで，どのような観測情報の共有が探査を行う上で有効であるかを検証する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"282","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"281","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":235984,"updated":"2025-01-19T09:26:27.745830+00:00","links":{},"created":"2025-01-19T01:37:47.420735+00:00"}