Yoshinari Motokawa

According to our database, Yoshinari Motokawa authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

Learning Controllability Using Destination Channels with Reward Navigation in Multi-agent Systems.

Gentoku Nakasone, Yamato Takahagi, Yoshinari Motokawa, Yuki Miyashita, Toshiharu Sugawara

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Computational Social Science: The PAAMS Collection, 2025

Enhanced Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning.

Yoshinari Motokawa, Toshiharu Sugawara

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

Efficient Retraining for Continuous Operability Through Strategic Directives.

Gentoku Nakasone, Yoshinari Motokawa, Yuki Miyashita, Toshiharu Sugawara

Proceedings of the International Conference on Machine Learning and Applications, 2024

2023

Strategy-Following Multi-Agent Deep Reinforcement Learning through External High-Level Instruction.

Yoshinari Motokawa, Toshiharu Sugawara

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning.

Yoshinari Motokawa, Toshiharu Sugawara

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise.

Yoshinari Motokawa, Toshiharu Sugawara

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

MAT-DQN: Toward Interpretable Multi-agent Deep Reinforcement Learning for Coordinated Activities.

Yoshinari Motokawa, Toshiharu Sugawara

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021