{"links":{},"id":196919,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00196919","sets":["6504:9795:9801"]},"path":["9801"],"owner":"6748","recid":"196919","title":["A behavior analysis of sequential and off-table information in the game of Mahjong via deep convolutional neural networks"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"_buckets":{"deposit":"588a8209-97b5-4336-83fd-12862e1bdeae"},"_deposit":{"id":"196919","pid":{"type":"depid","value":"196919","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"A behavior analysis of sequential and off-table information in the game of Mahjong via deep convolutional neural networks","author_link":["471876","471875","471877","471878"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A behavior analysis of sequential and off-table information in the game of Mahjong via deep convolutional neural networks"}]},"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":"2019-02-28","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東大"},{"subitem_text_value":"東大"},{"subitem_text_value":"東大"},{"subitem_text_value":"東大"}]},"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/196919/files/IPSJ-Z81-5T-02.pdf","label":"IPSJ-Z81-5T-02.pdf"},"date":[{"dateType":"Available","dateValue":"2019-05-28"}],"format":"application/pdf","filename":"IPSJ-Z81-5T-02.pdf","filesize":[{"value":"324.5 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"0ff2076e-fba9-46fb-96d5-ae51111b5e8f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"高, 世祺"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"奥谷, 文徳"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"川原, 圭博"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鶴岡, 慶雅"}],"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":"Evaluation function is a very important factor for policy decision but always hard to define exactly especially in imperfect information games. Most of the studies on the game of Mahjong utilize concrete game rules and use traditional AI methods with artificially well-designed function blocks. For the benchmark of agreement rate on tile discard, traditional baseline is 62.1%. Our past proposal designed a new model with deep convolutional neural networks and raised this result by 6.7%. However the model is still not perfect. In this paper, we make a comparison of the behavior on learning past-made-action information in different ways, and explore better approaches for including off-table messages such as ranks and scores for model learning.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"388","bibliographic_titles":[{"bibliographic_title":"第81回全国大会講演論文集"}],"bibliographicPageStart":"387","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-19T01:01:24.881589+00:00","updated":"2025-01-19T22:33:41.071897+00:00"}