A Modular Type Network for Incremental Learning. - Seiji Ishihara; Takashi Nagano (ICONIP, 1998)

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

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)