Kunikazu Kobayashi

Publication Activity (10 Years)

Years Active: 1994-2019
Publications (10 Years): 8

Top Topics

Gaussian Mixture

Reinforcement Learning

Top Venues

J. Robotics Netw. Artif. Life

Publications

Takashi Kuremoto, Hiroki Matsusaka, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
An Improved Fuzzy Neural Network for Reinforcement Learning. ICBDR (2019)
Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Forecasting Real Time Series Data using Deep Belief Net and Reinforcement Learning. J. Robotics Netw. Artif. Life 4 (4) (2018)
Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Enhancing EEG Signals Recognition Using ROC Curve. J. Robotics Netw. Artif. Life 4 (4) (2018)
Takuo Suzuki, Marina Nakagawa, Kunikazu Kobayashi
Eating progress estimation based on depth images for medication management support. ICAR (2017)
Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Deep Belief Network Using Reinforcement Learning and Its Applications to Time Series Forecasting. ICONIP (3) (2016)
Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
A hand shape instruction recognition and learning system using growing SOM with asymmetric neighborhood function. Neurocomputing 188 (2016)
Kenta Hidaka, Takuo Suzuki, Kunikazu Kobayashi
Improvement of Computational Efficiency of Unscented Particle Filter by Automatically Adjusting the Number of Particles. J. Robotics Netw. Artif. Life 3 (2) (2016)
Takashi Kuremoto, Yuya Kuzukami, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
RP-AG-SOM: A Growing Self-organizing Map with Assymetric Neighborhood Function and Variable Radius. IntelliSys (1) (2016)
Masanao Obayashi, Shunsuke Uto, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
An Emotional Robot. IJCCI (Selected Papers) (2015)
Masanao Obayashi, Shunsuke Uto, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
An Extended Q Learning System with Emotion State to Make Up an Agent with Individuality. IJCCI (NCTA) (2015)
Toshiyuki Tanaka, Kunikazu Kobayashi
Developing a Dividual Model Using a Modular Neural Network for Human-Robot Interaction. J. Robotics Netw. Artif. Life 2 (1) (2015)
Masanao Obayashi, Taiki Yamane, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
An Autonomous Mobile Robot with Functions of Action Learning, Memorizing, Recall and Identifying the Environment Using Gaussian Mixture Model. ICONIP (1) (2015)
Takashi Kuremoto, Shinsuke Kimura, Kunikazu Kobayashi, Masanao Obayashi
Time series forecasting using a deep belief network with restricted Boltzmann machines. Neurocomputing 137 (2014)
Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
One dimensional ring type growing SOM with asymmetric neighborhood function and its application to a hand shape instruction learning system. SNPD (2014)
Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems. ICSI (1) (2014)
Yuji Nunome, Kazuhito Murakami, Masahide Ito, Kunikazu Kobayashi, Tadashi Naruse
A Method to Estimate Ball's State of Spin by Image Processing for Improving Strategies in the RoboCup Small-Size-Robot League. RoboCup (2014)
Shun Watanabe, Takashi Kuremoto, Shingo Mabu, Masanao Obayashi, Kunikazu Kobayashi
The Recollection Characteristics of Generalized MCNN Using Different Control Methods. J. Robotics Netw. Artif. Life 1 (1) (2014)
Takashi Kuremoto, Takuhiro Otani, Shingo Mabu, Masanao Obayashi, Kunikazu Kobayashi
One-D-R-A-G-SOM and its Application to a Hand Shape Instruction Learning System. Int. J. Networked Distributed Comput. 2 (3) (2014)
Takashi Kuremoto, Takuhiro Otani, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu
A Hand Shape Instruction Recognition and Learning System Using Growing SOM with Asymmetric Neighborhood Function. ICIC (1) (2014)
Masanori Kawamura, Kunikazu Kobayashi
An Action Selection Method Using Degree of Cooperation in a Multi-agent Reinforcement Learning System. J. Robotics Netw. Artif. Life 1 (3) (2014)
Masanao Obayashi, Takuya Kamikariya, Shogo Uchiyama, Shogo Watada, Takashi Kuremoto, Shingo Mabu, Kunikazu Kobayashi
Adaptive Control System Based on Self-Organizing Wavelet Neural Network with H8 Tracking Performance Compensator. SMC (2013)
Takashi Kuremoto, Yasuhiro Kinoshita, Liang-Bing Feng, Shun Watanabe, Kunikazu Kobayashi, Masanao Obayashi
A gesture recognition system with retina-V1 model and one-pass dynamic programming. Neurocomputing 116 (2013)
Kotaro Yasui, Kunikazu Kobayashi, Kazuhito Murakami, Tadashi Naruse
Analyzing and Learning an Opponent's Strategies in the RoboCup Small Size League. RoboCup (2013)
Shun Watanabe, Takashi Kuremoto, Kunikazu Kobayashi, Masanao Obayashi
A method for analyzing the spatiotemporal changes of chaotic neural networks. Artif. Life Robotics 18 (3-4) (2013)
Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi
A Model of Emotional Intelligent Agent for Cooperative Goal Exploration. ICIC (1) (2013)
Takashi Kuremoto, Tetsuya Tsurusaki, Kunikazu Kobayashi, Shingo Mabu, Masanao Obayashi
An Improved Reinforcement Learning System Using Affective Factors. Robotics 2 (3) (2013)
Kunikazu Kobayashi, Tadashi Kurano, Takashi Kuremoto, Masanao Obayashi
Cooperative Behavior Acquisition in Multi-agent Reinforcement Learning System Using Attention Degree. ICONIP (3) (2012)
Masanao Obayashi, Takahiro Takuno, Takashi Kuremoto, Kunikazu Kobayashi
An emotional model embedded reinforcement learning system. SMC (2012)
Masanao Obayashi, Shinnosuke Koga, Liang-Bing Feng, Takashi Kuremoto, Kunikazu Kobayashi
Handwriting character classification using Freeman's olfactory KIII model. Artif. Life Robotics 17 (2) (2012)
Takashi Kuremoto, Shinsuke Kimura, Kunikazu Kobayashi, Masanao Obayashi
Time Series Forecasting Using Restricted Boltzmann Machine. ICIC (3) (2012)
Takashi Kuremoto, Yasuhiro Kinoshita, Liang-Bing Feng, Shun Watanabe, Kunikazu Kobayashi, Masanao Obayashi
A Gesture Recognition System Using One-Pass DP Method. ICIC (2) (2011)
Kunikazu Kobayashi, Ryu Kanehira, Takashi Kuremoto, Masanao Obayashi
An Action Selection Method Based on Estimation of Other's Intention in Time-Varying Multi-agent Environments. ICONIP (3) (2011)
Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Liang-Bing Feng
An Improved Internal Model of Autonomous Robots by a Psychological Approach. Cogn. Comput. 3 (4) (2011)
Takashi Kuremoto, Takahito Komoto, Kunikazu Kobayashi, Masanao Obayashi
Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System. J. Robotics 2010 (2010)
Masanao Obayashi, Liang-Bing Feng, Takashi Kuremoto, Kunikazu Kobayashi
Intelligent agent construction using the attentive characteristic patterns of chaotic neural networks. Artif. Life Robotics 15 (2) (2010)
Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Liang-Bing Feng
Autonomic Behaviors of Swarm Robots Driven by Emotion and Curiosity. LSMS/ICSEE (2010)
Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi
Adaptive swarm behavior acquisition by a neuro-fuzzy system and reinforcement learning algorithm. Int. J. Intell. Comput. Cybern. 2 (4) (2009)
Kunikazu Kobayashi, Hiroyuki Mizoue, Takashi Kuremoto, Masanao Obayashi
A Meta-learning Method Based on Temporal Difference Error. ICONIP (1) (2009)
Masanao Obayashi, N. Nakahara, Takashi Kuremoto, Kunikazu Kobayashi
A robust reinforcement learning using the concept of sliding mode control. Artif. Life Robotics 13 (2) (2009)
Takashi Kuremoto, Tomonori Ohta, Kunikazu Kobayashi, Masanao Obayashi
A dynamic associative memory system by adopting an amygdala model. Artif. Life Robotics 13 (2) (2009)
Takashi Kuremoto, Yuki Yamano, Masanao Obayashi, Kunikazu Kobayashi
An Improved Internal Model for Swarm Formation and Adaptive Swarm Behavior Acquisition. J. Circuits Syst. Comput. 18 (8) (2009)
Takashi Kuremoto, Tomonori Ohta, Kunikazu Kobayashi, Masanao Obayashi
A Functional Model of Limbic System of Brain. Brain Informatics (2009)
Nagahisa Kogawa, Masanao Obayashi, Kunikazu Kobayashi, Takashi Kuremoto
A reinforcement learning method based on an immune network adapted to a semi-Markov decision process. Artif. Life Robotics 13 (2) (2009)
Masanao Obayashi, Takashi Kuremoto, Kunikazu Kobayashi
A Self-Organized Fuzzy-Neuro Reinforcement Learning System for Continuous State Space for Autonomous Robots. CIMCA/IAWTIC/ISE (2008)
Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Hirotaka Adachi, Kentaro Yoneda
A Neuro-fuzzy Learning System for Adaptive Swarm Behaviors Dealing with Continuous State Space. ICIC (2) (2008)
Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Hirotaka Adachi, Kentaro Yoneda
A reinforcement learning system for swarm behaviors. IJCNN (2008)
Kunikazu Kobayashi, Masanao Obayashi, Takashi Kuremoto
A Bayesian Local Linear Wavelet Neural Network. ICONIP (2) (2008)
Takashi Kuremoto, Tsuyoshi Eto, Kunikazu Kobayashi, Masanao Obayashi
A Chaotic Model of Hippocampus-Neocortex. ICNC (1) (2005)
Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi
Nonlinear Prediction by Reinforcement Learning. ICIC (1) (2005)
Kunikazu Kobayashi, Masanao Ohbayashi
A new indirect encoding method with variable length gene code to optimize neural network structures. IJCNN (1999)
Kunikazu Kobayashi, Toyoshi Torioka, Hajime Hara
Pattern separation function of two-layered random net with feedforward inhibitory connections. Systems and Computers in Japan 26 (4) (1995)
Kunikazu Kobayashi, Toyoshi Torioka, Nobuhiko Ikeda
Fundamental consideration on self-formation of recognition cells. Neural Networks 7 (8) (1994)