Home >

news Help

Publication Information


Title
Japanese:ポテンシャルゲームに対する非合理的選択を含む学習アルゴリズムの設計と被履制御問題への適用 
English: 
Author
Japanese: 和佐泰明, 後藤達彦, 畑中健志, 藤田政之.  
English: Yasuaki Wasa, Tatsuhiko Gotou, Takeshi Hatanaka, Masayuki FUJITA.  
Language Japanese 
Journal/Book name
Japanese: 
English: 
Volume, Number, Page         P0155
Published date Mar. 16, 2012 
Publisher
Japanese: 
English: 
Conference name
Japanese:計測自動制御学会第12回制御部門大会 
English: 
Conference site
Japanese:奈良 
English: 
Abstract In this paper, we consider learning algorithm design in potential game theoretic cooperative control. In general, standard game theory aims at just computing a Nash equilibrium and it is required for agents' collective actions to converge to the most efficient equilibria. In particular, the equilibria maximizing the potential function should be selected in case the utility functions are aligned to a global objective function. In order to meet the requirement, this paper proposes a learning algorithm called Payoff-based Inhomogeneous Partially Irrational Play (PIPIP). Finally, the effectiveness of the algorithm is demonstrated through experiment on a sensor coverage problem.

©2007 Tokyo Institute of Technology All rights reserved.