{"links":{},"id":222503,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00222503","sets":["6164:6805:6807:11063"]},"path":["11063"],"owner":"44499","recid":"222503","title":["2048におけるニューラルネットワーク プレイヤの育成報告"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-01-19"},"_buckets":{"deposit":"7dca50ec-3187-4332-8868-b2a80c3a5217"},"_deposit":{"id":"222503","pid":{"type":"depid","value":"222503","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"2048におけるニューラルネットワーク プレイヤの育成報告","author_link":["583884","583883"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"2048におけるニューラルネットワーク プレイヤの育成報告"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"2048，ニューラルネットワーク，教師あり学習，強化学習","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2018-01-19","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"高知工科大学"},{"subitem_text_value":"高知工科大学"}]},"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/222503/files/IPSJ-WPRO2018016.pdf","label":"IPSJ-WPRO2018016.pdf"},"date":[{"dateType":"Available","dateValue":"2018-01-19"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-WPRO2018016.pdf","filesize":[{"value":"1.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"8a27114f-a50e-4040-be20-0cc646c26ea0","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"近藤, 直季"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松崎, 公紀"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"現在，ニューラルネットワークは，様々な分野で応用される重要な技術のひとつで ある.ゲームにおいても AlphaGo などニューラルネットワークを適用した人間より強いプ レイヤが出現している.本研究では確率的一人ゲームである「2048」に畳み込みニューラ ルネットワーク(CNN)を適用する.CNN を適用するにあたり，入力層へのデータの与え 方，畳み込み層の層数や畳み込み層のチャネル数，畳み込みフィルタのサイズなど，様々な パラメータの組み合わせを考える必要がある.本論文では試行錯誤の末に至った CNN の構 成を提案し，3 種類の教師データセットを用いた教師あり学習を行った結果を示す.実験の 結果，最も良いもので平均得点 17,228 点，クリア率 28.98% を達成し，最大で 8196 のタイ ルに到達した.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"104","bibliographic_titles":[{"bibliographic_title":"第59回プログラミング・シンポジウム予稿集"}],"bibliographicPageStart":"95","bibliographicIssueDates":{"bibliographicIssueDate":"2018-01-19","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2018"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:22:27.351294+00:00","updated":"2025-01-19T13:43:29.054118+00:00"}