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Shibata, Katsunari
24  Ergebnisse:
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1

Sensitivity – Local index to control chaoticity or gradient..:

Shibata, Katsunari ; Ejima, Takuya ; Tokumaru, Yuki.
Neural Networks.  143 (2021)  - p. 436-451 , 2021
Link: https://doi.org/10.1016/..
 
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2

Adaptive balancing of exploration and exploitation around t..:

Matsuki, Toshitaka ; Shibata, Katsunari
Neural Networks.  132 (2020)  - p. 19-29 , 2020
Link: https://doi.org/10.1016/..
 
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3

Q-learning with exploration driven by internal dynamics in ..:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
Matsuki, Toshitaka ; Inoue, Souya ; Shibata, Katsunari - p. 1-7 , 2020
Link: https://doi.org/10.1109/..
 
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4

Learning Time Constant of Continuous-Time Neurons with Grad..:

, In: Lecture Notes in Mechanical Engineering; RITA 2018,
Matsuki, Toshitaka ; Shibata, Katsunari - p. 149-159 , 2019
Link: https://doi.org/10.1007/..
 
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5

Chaos-Based Reinforcement Learning When Introducing Refract..:

, In: Robot Intelligence Technology and Applications; Communications in Computer and Information Science,
Sato, Katsuki ; Goto, Yuki ; Shibata, Katsunari - p. 76-84 , 2019
Link: https://doi.org/10.1007/..
 
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6

Reinforcement Learning of a Memory Task Using an Echo State..:

, In: Robot Intelligence Technology and Applications 5; Advances in Intelligent Systems and Computing,
Matsuki, Toshitaka ; Shibata, Katsunari - p. 17-26 , 2018
Link: https://doi.org/10.1007/..
 
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7

Emergence of Prediction by Reinforcement Learning Using a R..:

Goto, Kenta ; Shibata, Katsunari
Journal of Robotics.  2010 (2010)  - p. 1-9 , 2010
Link: https://doi.org/10.1155/..
 
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8

A model to explain the emergence of reward expectancy neuro..:

Ishii, Shinya ; Shidara, Munetaka ; Shibata, Katsunari
Neurocomputing.  69 (2006)  10-12 - p. 1327-1331 , 2006
Link: https://doi.org/10.1016/..
 
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9

Dynamics of a recurrent neural network acquired through lea..:

Shibata, Katsunari ; Sugisaka, Masanori
Artificial Life and Robotics.  7 (2004)  4 - p. 145-150 , 2004
Link: https://doi.org/10.1007/..
 
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10

Robotic batting system — an architecture for learning and d..:

Zheng, Xin-Zhi ; Inamura, Wataru ; Shibata, Katsunari.
Advanced Robotics.  14 (2000)  5 - p. 435-437 , 2000
Link: https://doi.org/10.1163/..
 
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11

Sensitivity - Local Index to Control Chaoticity or Gradient..:

Shibata, Katsunari ; Ejima, Takuya ; Tokumaru, Yuki.
http://arxiv.org/abs/2012.13134.  , 2020
Link: http://arxiv.org/abs/201..
 
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12

Communications that Emerge through Reinforcement Learning U..:

Shibata, Katsunari
http://arxiv.org/abs/1703.03543.  , 2017
Link: http://arxiv.org/abs/170..
 
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13

New Reinforcement Learning Using a Chaotic Neural Network f..:

Shibata, Katsunari ; Goto, Yuki
http://arxiv.org/abs/1705.05551.  , 2017
Link: http://arxiv.org/abs/170..
 
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14

Functions that Emerge through End-to-End Reinforcement Lear..:

Shibata, Katsunari
http://arxiv.org/abs/1703.02239.  , 2017
Link: http://arxiv.org/abs/170..
 
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15

Emergence of Intelligence through Reinforcement Learning wi..:

Shibata, Katsunari
https://openresearchlibrary.org/viewer/c3309c52-792c-4c9f-b189-1442fb58433a.  , 2011
Link: https://openresearchlibr..
 
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