A solution for combinational optimization problems using a two-layer random field model-mean-field approximation. - Harukazu Igarashi (Syst. Comput. Jpn., 1994)

Individual Tactical Play and Action Decision Based on a Short-Term Goal - Team Descriptions of Team Miya and Team Niken. - Harukazu Igarashi; Shougo Kosue; Masatoshi Miyahara; Toshiro Umaba (RoboCup, 1997)

Adjustment of term weights in an energy function used in the simulated annealing approach to vehicle scheduling problems. - Hideo Itoyama; Harukazu Igarashi; Hironao Kawashima (Syst. Comput. Jpn., 1997)

Individual Tactical Play and Pass with Communication between Players - Team descriptions of Team Miya2. - Harukazu Igarashi; Shougo Kosue; Masatoshi Miyahara (RoboCup, 1998)

RoboCup-99 Simulation League: Team KU-Sakura2. - Harukazu Igarashi; Shougo Kosue; Takashi Sakurai (RoboCup, 1999)

Path Planning of a Mobile Robot as a Discrete Optimization Problem an Adjustment of Weight Parameters in the Objective Function by Reinforcement Learning. - Harukazu Igarashi (RoboCup, 2000)

RoboCup 2000 Simulation League: Team KU-Yam2000. - Harukazu Igarashi; Yusuke Yamauchi; Shuichi Iidoi (RoboCup, 2000)

Path-planning and navigation of a mobile robot as discrete optimization problems. - Harukazu Igarashi; Kiyoshi Ioi (Artif. Life Robotics, 2001)

Path planning of a mobile robot by optimization and reinforcement learning. - Harukazu Igarashi (Artif. Life Robotics, 2002)

Design of a gravitational wheeled robot. - Kiyoshi Ioi; Harukazu Igarashi; Ayanobu Murakami (Adv. Robotics, 2002)

Policy Gradient Methods in Multi-Agent Systems. - Seiji Ishihara; Harukazu Igarashi (HIS, 2003)

Navigation of a mobile robot formulated in terms of discrete optimization problems. - Harukazu Igarashi; Kiyoshi Ioi (Syst. Comput. Jpn., 2003)

A Task Decomposition Algorithm Using Radial Basis Functions for Classification Problems. - Seiji Ishihara; Harukazu Igarashi (DICTA, 2005)

A Task Decomposition Algorithm Using Mixtures of Normal Distributions for Classification Problems. - Seiji Ishihara; Harukazu Igarashi (HIS, 2006)

Applying the policy gradient method to behavior learning in multiagent systems: The pursuit problem. - Seiji Ishihara; Harukazu Igarashi (Syst. Comput. Jpn., 2006)

Learning of soccer player agents using a policy gradient method: Coordination between kicker and receiver during free kicks. - Harukazu Igarashi; Kouji Nakamura; Seiji Ishihara (IJCNN, 2008)

Behavior Learning Based on a Policy Gradient Method: Separation of Environmental Dynamics and State Values in Policies. - Seiji Ishihara; Harukazu Igarashi (PRICAI, 2008)

Policy Gradient Reinforcement Learning with Environmental Dynamics and Action-Values in Policies. - Seiji Ishihara; Harukazu Igarashi (KES (1), 2011)

Learning Position Evaluation Functions Used in Monte Carlo Softmax Search. - Harukazu Igarashi; Yuichi Morioka; Kazumasa Yamamoto (CoRR, 2019)

Policy Gradient Reinforcement Learning for Policy Represented by Fuzzy Rules: Application to Simulations of Speed Control of an Automobile. - Seiji Ishihara; Harukazu Igarashi (CoRR, 2020)