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J-GLOBAL ID:200901091278133498   Update date: Sep. 17, 2024

Shibata Katsunari

シバタ カツナリ | Shibata Katsunari
Affiliation and department:
Job title: Professor
Homepage URL  (2): http://shws.cc.oita-u.ac.jp/~shibata/home.htmlhttp://shws.cc.oita-u.ac.jp/~shibata/home-j.html
Research field  (3): Mechanics and mechatronics ,  Robotics and intelligent systems ,  Intelligent informatics
Research keywords  (8): Emergence of Intelligence ,  Higher Functions ,  Function Emergence ,  Chaotic Neural Network ,  Recurrent Neural Network ,  Deep Reinforcement Learning ,  Reinforcement Learning ,  neural network
Research theme for competitive and other funds  (12):
  • 2020 - 2021 Establishment of Chaos-based Dynamic Reinforcement Learning as Taking an Essential Technology to Realize Emergence of Thinking in Advance
  • 2015 - 2020 From "Exploration" To "Thinking" - Development of Chaos Dynamics through Reinforcement Learning
  • 2011 - 2013 Exploration of a Breakthrough Technology for Emergence of Symbol Processing by Neuro-based Reinforcement Learning Considering Time Axis
  • 2007 - 2010 A challenge towards how far the emergence of higher functions can be explained by reinforcement learning using a neural network
  • 2003 - 2006 Autonomous, Harmonious and Purposive Acquisition of Various Functions of Robots by Reinforcement Learning and the Relation to the Intelligence Formation
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Papers (37):
  • Katsunari Shibata, Takuya Ejima, Yuki Tokumaru, Toshitaka Matsuki. Sensitivity - Local index to control chaoticity or gradient globally -. Neural Networks. 2021. 143. 436-451
  • Toshitaka Matsuki, Katsunari Shibata. Learning Time Constant of Continuous-Time Neurons with Gradient Descent. Lecture Notes in Mechanical Engineering. 2020. 149-159
  • Toshitaka Matsuki, Souya Inoue, Katsunari Shibata. Q-learning with exploration driven by internal dynamics in chaotic neural network. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). 2020
  • Katsunari Shibata, Takuya Ejima, Yuki Tokumaru, Toshitaka Matsuki. Sensitivity - Local Index to Control Chaoticity or Gradient Globally. CoRR. 2020. abs/2012.13134
  • Toshitaka Matsuki, Souya Inoue, Katsunari Shibata. Q-learning with exploration driven by internal dynamics in chaotic neural network. 2020 International Joint Conference on Neural Networks(IJCNN). 2020. 1-7
more...
MISC (140):
  • 吉岡晴海, 松木俊貴, 柴田克成. Construction of Reservoir Network Using Sensitivity Adjustment Learning. 計測自動制御学会九州支部学術講演会予稿集(CD-ROM). 2020. 39th
  • 大石将人, 松木俊貴, 柴田克成. Effect of Chaos on Supervised Learning of State Transition Tasks Using Recurrent Neural Networks. 計測自動制御学会九州支部学術講演会予稿集(CD-ROM). 2020. 39th
  • SHIBATA Katsunari. Causality Trace : Effective Retrospective Learning by Introducing Parallel and Subjective Time Scales. IEICE technical report. Neurocomputing. 2014. 113. 500. 157-162
  • Acquisition of Prediction-based Flexible Actions with Continuous Motions by Actor-Q-Learning. 2013. 2013. 29. 91-96
  • SHIBATA Katsunari, KURIZAKI Shunsuke. Emergence of "Color Constancy" through Learning of Behaviors by Reinforcement Learning with a Neural Network. IEICE technical report. Neurocomputing. 2013. 112. 480. 215-220
more...
Patents (2):
  • 情報処理装置及びその学習方法
  • 分散制御システム
Books (2):
  • ロボット情報学ハンドブック
    ナノオプトニクス・エナジー,近代科学社 (発売) 2010 ISBN:9784764955073
  • 脳科学大事典
    朝倉書店 2000 ISBN:4254101562
Works (2):
  • 実ロボットによるニューロベース強化学習の自律学習機能の検証
    2001 -
  • Autonomous Learning Ability of Neuro-based Reinforcement Learning in real robots
    2001 -
Education (3):
  • 1992 - 1993 The University of Tokyo The Graduate School of Engineering
  • 1987 - 1989 The University of Tokyo The Graduate School of Engineering (Master Course) Department of Mechanical Engineering
  • 1983 - 1987 The University of Tokyo The Faculty of Engineering Department of Mechanical Engineering
Professional career (1):
  • Dr. Engineering (The University of Tokyo)
Work history (8):
  • 2019/10 - 2021/03 Oita University Faculty of Science and Technology Department of Innovative Engineering Professor
  • 2007/04 - 2019/09 Oita University. Faculty of Engineering Associate Professor
  • 2001/04 - 2007/03 Oita University
  • 2005/02 - 2005/09 University of Aberta Dept. of Computing Science Visiting Professor
  • 2000 - 2001 Oita University Faculty of Engineering Lecturer
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Committee career (2):
  • 2012 - 2016 日本神経回路学会 理事
  • 計測自動制御学会 ニューラルネットワーク部会運営委員、 自律分散システム部会運営委員、 九州支部事業委員
Awards (1):
  • 2021/09 - Japanese Neural Network Society. Best Paper Award Adaptive balancing of exploration and exploitation around the edge of chaos in internal-chaos-based learning
Association Membership(s) (8):
計測自動制御学会 ,  日本神経回路学会 ,  電子情報通信学会 ,  IEEE ,  JNNS ,  SICE ,  IEICE ,  IEEE
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