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ORCIDKatsunari Shibata
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2020 – today
- 2021
[j9]Katsunari Shibata
, Takuya Ejima, Yuki Tokumaru, Toshitaka Matsuki:
Sensitivity - Local index to control chaoticity or gradient globally -. Neural Networks 143: 436-451 (2021)- 2020
- [j8]Toshitaka Matsuki, Katsunari Shibata:
Adaptive balancing of exploration and exploitation around the edge of chaos in internal-chaos-based learning. Neural Networks 132: 19-29 (2020) - [c30]Toshitaka Matsuki, Souya Inoue, Katsunari Shibata:
Q-learning with exploration driven by internal dynamics in chaotic neural network. IJCNN 2020: 1-7 - [i4]Katsunari Shibata, Takuya Ejima, Yuki Tokumaru, Toshitaka Matsuki:
Sensitivity - Local Index to Control Chaoticity or Gradient Globally. CoRR abs/2012.13134 (2020)
2010 – 2019
- 2018
- [c29]Katsuki Sato, Yuki Goto, Katsunari Shibata:
Chaos-Based Reinforcement Learning When Introducing Refractoriness in Each Neuron. RiTA 2018: 76-84 - 2017
- [c28]Yuki Goto, Katsunari Shibata:
Influence of the Chaotic Property on Reinforcement Learning Using a Chaotic Neural Network. ICONIP (1) 2017: 759-767 - [c27]Toshitaka Matsuki, Katsunari Shibata:
Reinforcement Learning of a Memory Task Using an Echo State Network with Multi-layer Readout. RiTA 2017: 17-26 - [i3]Katsunari Shibata:
Functions that Emerge through End-to-end Reinforcement Learning. CoRR abs/1703.02239 (2017) - [i2]Katsunari Shibata:
Communications that Emerge through Reinforcement Learning Using a (Recurrent) Neural Network. CoRR abs/1703.03543 (2017) - [i1]Katsunari Shibata, Yuki Goto:
New Reinforcement Learning Using a Chaotic Neural Network for Emergence of "Thinking" - "Exploration" Grows into "Thinking" through Learning -. CoRR abs/1705.05551 (2017) - 2016
- [c26]Yuki Goto, Katsunari Shibata:
Emergence of Higher Exploration in Reinforcement Learning Using a Chaotic Neural Network. ICONIP (1) 2016: 40-48 - [c25]Toshitaka Matsuki, Katsunari Shibata:
Reward-Based Learning of a Memory-Required Task Based on the Internal Dynamics of a Chaotic Neural Network. ICONIP (1) 2016: 376-383 - 2015
- [c24]Katsunari Shibata, Yuta Sakashita:
Reinforcement learning with internal-dynamics-based exploration using a chaotic neural network. IJCNN 2015: 1-8 - 2014
- [c23]Katsunari Shibata:
Causality traces for retrospective learning in neural networks - Introduction of parallel and subjective time scales. IJCNN 2014: 2268-2275 - 2013
- [c22]Katsunari Shibata, Kenta Goto:
Emergence of flexible prediction-based discrete decision making and continuous motion generation through actor-Q-learning. ICDL-EPIROB 2013: 1-6 - [c21]Ahmad Athif Mohd Faudzi, Katsunari Shibata:
Acquisition of Context-Based Active Word Recognition by Q-Learning Using a Recurrent Neural Network. RiTA 2013: 191-200 - 2012
- [c20]Katsunari Shibata, Shunsuke Kurizaki:
Emergence of color constancy illusion through reinforcement learning with a neural network. ICDL-EPIROB 2012: 1-6 - [c19]Mohamad Faizal Bin Samsudin, Yoshito Sawatsubashi, Katsunari Shibata:
Emergence of Multi-step Discrete State Transition through Reinforcement Learning with a Recurrent Neural Network. ICONIP (2) 2012: 583-590 - [c18]Mohamad Faizal Bin Samsudin, Katsunari Shibata:
Performance comparison of non-RNN and RNN in Emergence of Discrete Decision Making through Reinforcement Learning. KES 2012: 20-27 - [c17]Yoshito Sawatsubashi, Mohamad Faizal Bin Samusudin, Katsunari Shibata:
Emergence of Discrete and Abstract State Representation through Reinforcement Learning in a Continuous Input Task. RiTA 2012: 13-21 - [c16]Katsunari Shibata, Shuji Enoki:
Differential Trace in Learning of Value Function with a Neural Network. RiTA 2012: 55-63 - 2011
- [c15]Reinaldo Uribe, Fernando Lozano, Katsunari Shibata, Charles Anderson:
Discount and speed/execution tradeoffs in Markov Decision Process games. CIG 2011: 79-86 - [c14]Katsunari Shibata, Kazuki Sasahara:
Emergence of Purposive and Grounded Communication through Reinforcement Learning. ICONIP (3) 2011: 66-75 - [c13]Katsunari Shibata, Hiroki Utsunomiya:
Discovery of pattern meaning from delayed rewards by reinforcement learning with a recurrent neural network. IJCNN 2011: 1445-1452 - 2010
- [j7]Kenta Goto, Katsunari Shibata:
Emergence of Prediction by Reinforcement Learning Using a Recurrent Neural Network. J. Robotics 2010: 437654:1-437654:9 (2010)
2000 – 2009
- 2009
- [j6]Satoru UeNo, Katsunari Shibata, Reizaburo Kitai, K. Ichimoto, S. Nagata, Hiroaki Isobe, G. Kimura, Y. Nakatani, M. Kadota, T. T. Ishii, Satoshi Morita, K. Otsuji:
The CHAIN-Project and Installation of Flare Monitoring Telescopes in Developing Countries. Data Sci. J. 8: S51-S58 (2009) - 2008
- [c12]Mohamad Faizal Bin Samsudin, Katsunari Shibata:
Improvement of Practical Recurrent Learning Method and Application to a Pattern Classification Task. ICONIP (2) 2008: 631-638 - [c11]Katsunari Shibata, Tomohiko Kawano:
Learning of Action Generation from Raw Camera Images in a Real-World-Like Environment by Simple Coupling of Reinforcement Learning and a Neural Network. ICONIP (1) 2008: 755-762 - [c10]Hiroki Utsunomiya, Katsunari Shibata:
Contextual Behaviors and Internal Representations Acquired by Reinforcement Learning with a Recurrent Neural Network in a Continuous State and Action Space Task. ICONIP (2) 2008: 970-978 - 2007
- [c9]Mohamad Faizal Bin Samsudin, Takeshi Hirose, Katsunari Shibata:
Practical Recurrent Learning (PRL) in the Discrete Time Domain. ICONIP (1) 2007: 228-237 - 2006
- [j5]Shinya Ishii, Munetaka Shidara, Katsunari Shibata:
A model to explain the emergence of reward expectancy neurons using reinforcement learning and neural network. Neurocomputing 69(10-12): 1327-1331 (2006) - 2004
- [j4]Katsunari Shibata, Masanori Sugisaka:
Dynamics of a recurrent neural network acquired through learning a context-based attention task. Artif. Life Robotics 7(4): 145-150 (2004) - 2003
- [j3]Masaru Iida, Masanori Sugisaka, Katsunari Shibata:
Direct-vision-based reinforcement learning in a real mobile robot. Artif. Life Robotics 7(3): 102-106 (2003) - 2002
- [j2]Katsunari Shibata, Tetsuo Nishino, Yoichi Okabe:
Active perception and recognition learning system based on Actor-Q architecture. Syst. Comput. Jpn. 33(14): 12-22 (2002) - 2001
- [c8]Katsunari Shibata, Tetsuo Nishino, Yoichi Okabe:
Actor-Q Based Active Perception Learning System. ICRA 2001: 1000-1005 - 2000
- [j1]Xin-Zhi Zheng, Wataru Inamura, Katsunari Shibata, Koji Ito:
Robotic batting system -- an architecture for learning and dynamic pattern generation. Adv. Robotics 14(5): 435-437 (2000) - [c7]Xin-Zhi Zheng, Wataru Inamura, Katsunari Shibata, Koji Ito:
A Learning and Dynamic Pattern Generating Architecture for Skillful Robotic Baseball Batting System. ICRA 2000: 3227-3232 - [c6]Satoshi Morita, Katsunari Shibata, Xin-Zhi Zheng, Koji Ito:
Prosthetic hand control based on torque estimation from EMG signals. IROS 2000: 389-394
1990 – 1999
- 1999
- [c5]Katsunari Shibata, Koji Ito:
Gauss-sigmoid neural network. IJCNN 1999: 1203-1208 - [c4]Katsunari Shibata, Koji Ito:
Emergence of Communication for Negotiation by a Recurrent Neural Network. ISADS 1999: 294-301 - 1998
- [c3]Katsunari Shibata, Koji Ito:
Reconstruction of Visual Sensory Space on the Hidden Layer in Layered Neural Networks. ICONIP 1998: 405-408 - 1997
- [c2]Katsunari Shibata, Yoichi Okabe:
Reinforcement learning when visual sensory signals are directly given as inputs. ICNN 1997: 1716-1720 - 1995
- [c1]Katsunari Shibata, Yoichi Okabe:
Some learning models of visual system based on local sensory signals integration learning. ICNN 1995: 1986-1990
Coauthor Index
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