Japanese | English

トップページへ戻る

詳細

   
フルテキストURLフルテキストリンクなし
タイトルA reinforcement learning system for swarm behaviors
作成者Kuremoto, T.
Obayashi, M.
Kobayashi, K.
Adachi, H.
Yoneda, K.
作成者ヨミクレモト, タカシ
オオバヤシ, マサナオ
コバヤシ, クニカズ
作成者別表記呉本, 尭
大林, 正直
小林, 邦和
作成者所属山口大学大学院理工学研究科(工学)
内容記述(抄録等)IEEE International Joint Conference on IEEE World Congress on Computational Intelligence, Neural Networks, 2008, IJCNN 2008, Hong Kong, 1-8 June 2008.

This paper proposes a neuro-fuzzy system with a reinforcement learning algorithm to realize speedy acquisition of optimal swarm behaviors. The proposed system is constructed with a part of input states classification by the fuzzy net and a part of optimal behavior learning network adopting the actor-critic method. The membership functions and fuzzy rules in the fuzzy net are adaptively formed online by the change of environment states observed in trials of agentpsilas behaviors. The weights of connections between the fuzzy net and the value functions of actor and critic are trained by temporal difference error (TD error). Computer simulations applied to a goal-directed navigation problem using multiple agents were performed Effectiveness of the proposed learning system was confirmed by the simulation results.
本文言語eng
資料タイプtext
出版者Institute of Electrical and Electronics Engineers
NII資料タイプ会議発表論文
査読の有無査読あり
ISSN1098-7576
掲載誌名Proceedings of IEEE World Congress on Computational Intelligence
2008
開始ページ3710
終了ページ3715
発行日2008-06
DOIinfo:doi/10.1109/IJCNN.2008.4634330
情報源ISBN9781424418206
関連情報URL(IsPartOf)http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4625775
権利関係Copyright c2008 IEEE. Reprinted from Proceedings of IEEE World Congress on Computational Intelligence, 2008, p. 3710-3715. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Yamaguchi University Library's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
著者版/出版社版その他
リポジトリID2010010468
地域区分山口大学
URIhttp://www.lib.yamaguchi-u.ac.jp/yunoca/handle/2010010468