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Katsunari Shibata: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Katsunari Shibata, Koji Ito
    Reconstruction of Visual Sensory Space on the Hidden Layer in Layered Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:405-408 [Conf]
  2. Katsunari Shibata, Tetsuo Nishino, Yoichi Okabe
    Actor-Q Based Active Perception Learning System. [Citation Graph (0, 0)][DBLP]
    ICRA, 2001, pp:1000-1005 [Conf]
  3. Xin-Zhi Zheng, Wataru Inamura, Katsunari Shibata, Koji Ito
    A Learning and Dynamic Pattern Generating Architecture for Skillful Robotic Baseball Batting System. [Citation Graph (0, 0)][DBLP]
    ICRA, 2000, pp:3227-3232 [Conf]
  4. Katsunari Shibata, Koji Ito
    Emergence of Communication for Negotiation by a Recurrent Neural Network. [Citation Graph (0, 0)][DBLP]
    ISADS, 1999, pp:294-301 [Conf]
  5. Xin-Zhi Zheng, Wataru Inamura, Katsunari Shibata, Koji Ito
    Robotic batting system -- an architecture for learning and dynamic pattern generation. [Citation Graph (0, 0)][DBLP]
    Advanced Robotics, 2000, v:14, n:5, pp:435-437 [Journal]
  6. Shinya Ishii, Munetaka Shidara, Katsunari Shibata
    A model to explain the emergence of reward expectancy neurons using reinforcement learning and neural network. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:10-12, pp:1327-1331 [Journal]
  7. Katsunari Shibata, Tetsuo Nishino, Yoichi Okabe
    Active perception and recognition learning system based on Actor-Q architecture. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2002, v:33, n:14, pp:12-22 [Journal]

  8. Practical Recurrent Learning (PRL) in the Discrete Time Domain. [Citation Graph (, )][DBLP]


  9. Learning of Action Generation from Raw Camera Images in a Real-World-Like Environment by Simple Coupling of Reinforcement Learning and a Neural Network. [Citation Graph (, )][DBLP]


  10. Improvement of Practical Recurrent Learning Method and Application to a Pattern Classification Task. [Citation Graph (, )][DBLP]


  11. Contextual Behaviors and Internal Representations Acquired by Reinforcement Learning with a Recurrent Neural Network in a Continuous State and Action Space Task. [Citation Graph (, )][DBLP]


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