no code implementations • 28 Feb 2024 • Koshi Oishi, Yota Hashizume, Tomohiko Jimbo, Hirotaka Kaji, Kenji Kashima
Considering this, there is a pressing need for research to enhance the robustness of network systems.
no code implementations • 9 Nov 2023 • Sunao Tomita, Tomohiko Jimbo
Therefore, operational modal analysis (OMA) without input signals has been proposed to easily extract modal parameters under operational conditions.
no code implementations • 5 Dec 2022 • Koshi Oishi, Yota Hashizume, Tomohiko Jimbo, Hirotaka Kaji, Kenji Kashima
In this study, we proposed a method for designing a resilient logistics network based on entropy regularization.
no code implementations • 29 Mar 2021 • Kazuki Shibata, Tomohiko Jimbo, Takamitsu Matsubara
In this paper, we explore a multi-agent reinforcement learning approach to address the design problem of communication and control strategies for multi-agent cooperative transport.
Multi-agent Reinforcement Learning reinforcement-learning +1