{"created":"2023-05-15T11:59:50.462340+00:00","id":6446,"links":{},"metadata":{"_buckets":{"deposit":"ee72e5b0-7294-4f0c-9a36-d8c8d62c8146"},"_deposit":{"created_by":3,"id":"6446","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"6446"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00006446","sets":["8:24"]},"author_link":["27058","3681"],"item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2006-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"Nos. 8-9","bibliographicPageEnd":"226","bibliographicPageStart":"219","bibliographicVolumeNumber":"10","bibliographic_titles":[{"bibliographic_title":"Neural Information Processing - Letters and Reviews"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Reinforcement learning is suitable for navigation of a mobile robot due to its ability without supervised information. Reinforcement learning, however, has difficulties. One is its slow learning, and the other is the necessity of specifying its parameter values without prior information. We proposed to introduce sensory signals into reinforcement learning to improve its learning performance, and to optimize its parameter values by a genetic algorithm with inheritance. The latter has to specify the parameter values for every environment, which is impractical due to huge computational time. In this paper, we propose to analyze the dependency and sensitivity of the values of parameters on the environment for predicting the values of parameters for a novel environment without optimization process. We examine the dependency and the sensitivity of the values of parameters of the environment. The computer experiments clarify the dependency of the values of parameters on the environment and provide their sensitivities.","subitem_description_type":"Abstract"}]},"item_21_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal Article","subitem_description_type":"Other"}]},"item_21_link_62":{"attribute_name":"研究者情報","attribute_value_mlt":[{"subitem_link_url":"https://hyokadb02.jimu.kyutech.ac.jp/html/3_ja.html"}]},"item_21_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Korea Advanced Institute of Science and Technology"}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1738-2572","subitem_source_identifier_type":"ISSN"}]},"item_21_text_28":{"attribute_name":"論文ID（連携）","attribute_value_mlt":[{"subitem_text_value":"10007480"}]},"item_21_text_36":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Department of Brain Science and Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Fukuoka, 808-0196, Japan"},{"subitem_text_value":"Department of Brain Science and Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Fukuoka, 808-0196, Japan"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"119"}]},"item_21_version_type_58":{"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":"Kamei,  Keiji"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Ishikawa, Masumi","creatorNameLang":"en"},{"creatorName":"石川, 眞澄","creatorNameLang":"ja"},{"creatorName":"イシカワ, マスミ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-03-11"}],"displaytype":"detail","filename":"NIP-LR10_219.pdf","filesize":[{"value":"509.7 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"NIP-LR10_219.pdf","url":"https://kyutech.repo.nii.ac.jp/record/6446/files/NIP-LR10_219.pdf"},"version_id":"92cdeee9-4092-4a30-824c-9f7c9a599013"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"reinforcement learning","subitem_subject_scheme":"Other"},{"subitem_subject":"genetic algorithm","subitem_subject_scheme":"Other"},{"subitem_subject":"navigation of a mobile robot","subitem_subject_scheme":"Other"},{"subitem_subject":"parameter dependency","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Dependency of Parameter Values in Reinforcement Learning for Navigation of a Mobile Robot on the Environment","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Dependency of Parameter Values in Reinforcement Learning for Navigation of a Mobile Robot on the Environment"}]},"item_type_id":"21","owner":"3","path":["24"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-03-11"},"publish_date":"2020-03-11","publish_status":"0","recid":"6446","relation_version_is_last":true,"title":["Dependency of Parameter Values in Reinforcement Learning for Navigation of a Mobile Robot on the Environment"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-10-26T01:26:48.885465+00:00"}