Seiji Ishihara

Harukazu Igarashi, Seiji Ishihara, K. Nakamura, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

A study on conference system with 3DCG using digital pen and dot screen

Makoto Hasegawa, Seiji Ishihara, Eizaburo Iwata, 2018, 2018 International Workshop on Advanced Image Technology (IWAIT).

A Task Decomposition Algorithm Using Mixtures of Normal Distributions for Classification Problems

Harukazu Igarashi, Seiji Ishihara, 2006, 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06).

Policy-Gradient Method Integrating Abstract Information in Policy Function and Its Application to Pursuit Games with a Tunnel of Static Obstacles

Satoshi Imai, Harukazu Igarashi, Seiji Ishihara, 2011 .

A Modular Type Network for Incremental Learning

Seiji Ishihara, Takashi Nagano, 1998, ICONIP.

Incremental Learning with a Modular-Type Neural Network

Seiji Ishihara, Takashi Nagano, 1999 .

A Task Decomposition Algorithm Using Radial Basis Functions for Classification Problems

Harukazu Igarashi, Seiji Ishihara, 2005, Digital Image Computing: Techniques and Applications (DICTA'05).

Policy Gradient Reinforcement Learning for Policy Represented by Fuzzy Rules: Application to Simulations of Speed Control of an Automobile pdf

Harukazu Igarashi, Seiji Ishihara, H. Igarashi, 2020, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics.

Reduction of Powerplant Vibration Level in the Acceleration Noise Region Based on Analysis of Crankshaft System Behavior

Seiji Ishihara, Katsuto Yamanouchi, Moriji Hiraishi, 1992 .

Policy Gradient Reinforcement Learning with Environmental Dynamics and Action-Values in Policies

Harukazu Igarashi, Seiji Ishihara, H. Igarashi, 2011, KES.

A Modular-Type Neural Network with RBF Output Units.

Seiji Ishihara, Takashi Nagano, 1999 .

2P1-S-022 Learning of Decision Making at Free Kicks Using Policy Gradient Methods(RoboCup 2,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

Harukazu Igarashi, Koji Nakamura, Seiji Ishihara, 2005 .

Unsupervised Texture Image Segmentation by using GMRF Models from Wavelet Frame Decomposition

Seiji Ishihara, Takahiro Yamamoto, Junichi Hara, 2014 .

Learning of Soccer player agents using a policy gradient method: Pass selection

Harukazu Igarashi, Seiji Ishihara, Hitoshi Fukuoka, 2010 .

Policy Gradient Methods in Multi-Agent Systems

Harukazu Igarashi, Seiji Ishihara, 2003, HIS.

Texture Image Segmentation by Using a Hierarchical Area of Dots in Sub-bands Based on Redundancy of Wavelet Frame Decomposition

Makoto Hasegawa, Seiji Ishihara, Takahiro Yamamoto, 2017 .

Application to Development of Engine Noise by FTA-QFD Method

Seiji Ishihara, 2003 .

Policy Gradient Reinforcement Learning with a Fuzzy Controller for Policy: Decision Making in RoboCup Soccer Small Size League

Harukazu Igarashi, Seiji Ishihara, Kazumoto Tanaka, 2014 .

1P1-R04 A Learning Algorithm of State Evaluation Functions in RoboCup Soccer Simulation League 2D(RoboCup and Robot Contest)

Harukazu Igarashi, Seiji Ishihara, Shunsaku Tanigawa, 2014 .

Policy Gradient Reinforcement Learning with Separated Knowledge: Environmental Dynamics and Action-Values in Policies

Harukazu Igarashi, Seiji Ishihara, 2016 .

A study on pseudo stereoscopic vision from a piece of human group picture: Face recognition, segmentation, and depth estimation

Makoto Hasegawa, Seiji Ishihara, Eizaburo Iwata, 2018, 2018 International Workshop on Advanced Image Technology (IWAIT).

Design and Application of Hybrid Intelligent Systems

Harukazu Igarashi, Seiji Ishihara, H. Igarashi, 2003 .