SHIBUYA Takeshi

Researcher's full information

Articles
  • Profit Sharing reducing the occurrences of accidents by predicted action-safety degree
    Junki Tamaru; Shibuya Takeshi
    Proceedings of the 10th Asian Control Conference 2015 (ASCC 2015)/pp.2468-2473, 2015-05
  • Reinforcement learning with nonstationary reward depending on the episode
    Shibuya Takeshi; Yasunobu Seiji
    In Proceedings of the 2011 IEEE International Conference on Systems, Man, and Cybernetics/pp.2145-2150, 2011
  • Space-time Support System using Simplified Time-Change Fuzzy Set
    Xiang Liu; Takeshi Shibuya; Seiji Yasunobu
    Proceedings of the 2013 Joint IFSA World Congress NAFIPS Annual Meeting (IFSA/NAFIPS)/pp.1502-1507, 2013-06
  • Partially Observable Markov Decision Process and Reinforcement Learning
    澁谷 長史
    計測と制御/52(4)/pp.374-380, 2013-04
  • リレー解説「強化学習の最近の発展」にあたって
    牧野 貴樹; 澁谷 長史
    計測と制御/52(1)/pp.64-67, 2013-01
  • Effectiveness of a Game-Based Class for Interdisciplinary Energy Systems Education in Engineering Courses
    Suzuki K.; Shibuya T.; Kanagawa T.
    Sustainability Science/16/pp.523-539, 2021-02
  • Space-time Fuzzy Inference and Applications using Simplified Time-Change Fuzzy Set
    Xiang Liu; Takeshi Shibuya; Seiji Yasunobu
    Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems/pp.1606-1609, 2012-11
  • Complex-valued Profit Sharing with Multiple Phase Changes
    澁谷 長史; 島田 慎吾; 濱上 知樹
    計測自動制御学会論文集 = Transactions of the Society of Instrument and Control Engineers/45(11)/pp.597-604, 2009-11
  • Q-learning with Action Values in Complex Numbers
    澁谷 長史; 濱上 知樹
    The IEICE transactions on information and systems D/J91-D(5)/p.1286-1295, 2008-01
  • A Substitute Target Learning-based Inverted Pendulum Swing-Up Control System
    Syafiq Fauzi Kamarulzaman; Takeshi Shibuya; Seiji Yasunobu
    Proc. of the 11th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2010)/p.1-6, 2010-12
  • Substitute target learning based control system for control knowledge acquisition within constrained environment
    Syafiq Fauzi Kamarulzaman; Takeshi Shibuya; Seiji Yasunobu
    Journal of Advanced Computational Intelligence and Intelligent Informatics/16(3)/pp.397-403, 2012-05
  • A method of generalization of state space construction for multi robots with different sensor configurations
    Takeshi SHIBUYA; Tomoki HAMAGAMI
    IEEJ Transactions of Electrical & Electronic Engineering/3(4)/p.418-424, 2008-01