Improving the Human-Likeness of Game AI's Moves by Combining Multiple Prediction Models. - Tatsuyoshi Ogawa; Chu-Hsuan Hsueh; Kokolo Ikeda (ICAART (3), 2023)

Optimal Execution Strategy Using Deep Q-Network with Heuristics Policy. - Tatsuyoshi Ogawa; Kei Nakagawa; Kokolo Ikeda (IIAI-AAI, 2024)

More Human-Like Gameplay by Blending Policies From Supervised and Reinforcement Learning. - Tatsuyoshi Ogawa; Chu-Hsuan Hsueh; Kokolo Ikeda (IEEE Trans. Games, 2024)

Policies of Multiple Skill Levels for Better Strength Estimation in Games. - Kyota Kuboki; Tatsuyoshi Ogawa; Chu-Hsuan Hsueh; Shi-Jim Yen; Kokolo Ikeda (CoRR, 2025)