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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, MBE (Joint) |
2021-03-05 13:00 |
Online |
Online |
The Relation between Sensitivity and Maximum Lyapunov Exponent when Sensitivity Adjustment Learning is Applied to Layered Recurrent Neural Networks Takuya Ejima, Yuuki Tokumaru, Kastunari Shibata (Oita Univ.) NC2020-69 |
We have proposed a local learning method named "sensitivity adjustment learning (SAL)". The sensitivity, which is adjust... [more] |
NC2020-69 pp.151-156 |
NC, MBE (Joint) |
2020-03-06 14:15 |
Tokyo |
University of Electro Communications (Cancelled but technical report was issued) |
Q-learning with exploration driven by internal dynamics in chaos neural network Toshitaka Matsuki, Shuya Inoue, Katsunari Shibata (Oita Univ) NC2019-112 |
[more] |
NC2019-112 pp.207-212 |
NC, MBE |
2015-03-16 14:45 |
Tokyo |
Tamagawa University |
Reinforcement Learning based on Internal-Dynamics-Derived Exploration Using a Chaotic Neural Network Katsunari Shibata, Yuta Sakashita (Oita Univ.) MBE2014-166 NC2014-117 |
As a basic concept for emergence of intelligence through autonomous learning, exploration that is es- sential in reinfor... [more] |
MBE2014-166 NC2014-117 pp.277-282 |
NC, MBE (Joint) |
2014-03-18 16:00 |
Tokyo |
Tamagawa University |
Causality Trace
-- Effective Retrospective Learning by Introducing Parallel and Subjective Time Scales -- Katsunari Shibata (Oita Univ.) NC2013-115 |
As a general method for effective retrospective learning in uninterrupted time based on the concept of ``subjective time... [more] |
NC2013-115 pp.157-162 |
MBE, NC (Joint) |
2013-03-15 11:30 |
Tokyo |
Tamagawa University |
Emergence of "Color Constancy" through Learning of Behaviors by Reinforcement Learning with a Neural Network Katsunari Shibata, Shunsuke Kurizaki (Oita Univ.) NC2012-171 |
In this paper, ``Optical Illusion'' is considered as the result of unconscious process in our parallel and flexible brai... [more] |
NC2012-171 pp.215-220 |
MBE, NC (Joint) |
2012-03-14 13:20 |
Tokyo |
Tamagawa University |
Emergence of Exploration Bahavior and Multi-valued Memory through Reinforcement Learning with a Recurrent Neural Network Katsunari Shibata, Kenta Goto (Oita Univ.) NC2011-134 |
The authors have propounded that various functions emerge purposively and harmoniously through reinforcement learning wi... [more] |
NC2011-134 pp.75-80 |
NC, MBE (Joint) |
2010-03-09 17:40 |
Tokyo |
Tamagawa University |
A Framework of Parallel and Flexible Learning Control System Using Reinforcement Learning and a Recurrent Neural Network Satoshi Takatsu, Kenta Goto, Katsunari Shibata (Oita Univ.) NC2009-114 |
The authors think that constructing the whole process from sensors to motors by a neural network and learning it by rein... [more] |
NC2009-114 pp.155-160 |
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