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 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
 Results 1 - 6 of 6  /   
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