MAT-DQN: Toward Interpretable Multi-agent Deep Reinforcement Learning for Coordinated Activities. - Yoshinari Motokawa; Toshiharu Sugawara (ICANN (4), 2021)

Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise. - Yoshinari Motokawa; Toshiharu Sugawara (IJCNN, 2022)

Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning. - Yoshinari Motokawa; Toshiharu Sugawara (IJCNN, 2023)

Strategy-Following Multi-Agent Deep Reinforcement Learning through External High-Level Instruction. - Yoshinari Motokawa; Toshiharu Sugawara (KES, 2023)

Efficient Retraining for Continuous Operability Through Strategic Directives. - Gentoku Nakasone; Yoshinari Motokawa; Yuki Miyashita; Toshiharu Sugawara (ICMLA, 2024)