2 citations · 2 across the 4 of their papers we have counts for
4 papers
Mutual Information Optimal Control of Discrete-Time Linear Systems
Shoju Enami, Kenji Kashima
In this paper, we formulate a mutual information optimal control problem (MIOCP) for discrete-time linear systems. This problem can be regarded as an extension of a maximum entropy…
On Policy Stochasticity in Mutual Information Optimal Control of Linear Systems
Shoju Enami, Kenji Kashima
Mutual information regularization has recently been studied in reinforcement learning (RL) as an extension of entropy regularization, in which not only the policy but also the refe…
Tsallis Entropy Regularization for Linear Quadratic Regulator and Kullback-Leibler Control
Yota Hashizume, Koshi Oishi, Kenji Kashima +1
Shannon entropy regularization is widely adopted in optimal control due to its ability to promote exploration and enhance robustness, e.g., maximum entropy reinforcement learning k…
Imitation-regularized Optimal Transport on Networks: Provable Robustness and Application to Logistics Planning
Koshi Oishi, Yota Hashizume, Tomohiko Jimbo +2
Transport systems on networks are crucial in various applications, but face a significant risk of being adversely affected by unforeseen circumstances such as disasters. The applic…