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Natsuki Oka: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yu Ohigashi, Takashi Omori, Koji Morikawa, Natsuki Oka
    Acceleration of Game Learning with Prediction-Based Reinforcement Learning - Toward the Emergence of Planning Behavior. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:786-796 [Conf]
  2. Takanori Komatsu, Shoichiro Ohtsuka, Kazuhiro Ueda, Takashi Komeda, Natsuki Oka
    A Method for Estimating Whether a User is in Smooth Communication with an Interactive Agent in Human-Agent Interaction. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:371-377 [Conf]
  3. Takanori Komatsu, Atsushi Utsunomiya, Kentaro Suzuki, Kazuhiro Ueda, Kazuo Hiraki, Natsuki Oka
    Toward a Mutual Adaptive Interface: An Interface and a User Induce and Utilize the Partner's Adaptation. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:1101-1108 [Conf]
  4. Atsushi Utsunomiya, Takanori Komatsu, Kazuhiro Ueda, Natsuki Oka
    A Meaning Acquisition Model Which Induces and Utilizes Human's Adaptation. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:378-384 [Conf]
  5. Makoto Hirahara, Natsuki Oka, Toshiki Kindo
    A cascade associative memory model with a hierarchical memory structure. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2000, v:13, n:1, pp:41-50 [Journal]
  6. Makoto Hirahara, Natsuki Oka, Toshiki Kindo
    Cascade associative memory storing hierarchically correlated patterns with various correlations. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2000, v:13, n:1, pp:51-61 [Journal]
  7. Makoto Hirahara, Natsuki Oka, Toshiki Kindo
    Associative memory with a sparse encoding mechanism for storing correlated patterns. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:9, pp:1627-1636 [Journal]

  8. A robot that learns in stages utilizing scaffolds: toward an active and long-term human-robot interaction. [Citation Graph (, )][DBLP]

  9. Automatic Placement Using Static and Dynamic Groupings. [Citation Graph (, )][DBLP]

  10. The hesitation of a robot: a delay in its motion increases learning efficiency and impresses humans as teachable. [Citation Graph (, )][DBLP]

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