22 citations · 102 across the 17 of their papers we have counts for
6 papers · 1 filter
Resilience Evaluation of Entropy Regularized Logistic Networks with Probabilistic Cost
Koshi Oishi, Yota Hashizume, Tomohiko Jimbo +2
The demand for resilient logistics networks has increased because of recent disasters. When we consider optimization problems, entropy regularization is a powerful tool for the div…
Maximum entropy optimal density control of discrete-time linear systems and Schrödinger bridges
Kaito Ito, Kenji Kashima
We consider an entropy-regularized version of optimal density control of deterministic discrete-time linear systems. Entropy regularization, or a maximum entropy (MaxEnt) method fo…
Kullback-Leibler control for discrete-time nonlinear systems on continuous spaces
Kaito Ito, Kenji Kashima
Kullback-Leibler (KL) control enables efficient numerical methods for nonlinear optimal control problems. The crucial assumption of KL control is the full controllability of the tr…
Matrix Pontryagin principle approach to controllability metrics maximization under sparsity constraints
Tomofumi Ohtsuka, Takuya Ikeda, Kenji Kashima
Controllability maximization problem under sparsity constraints is a node selection problem that selects inputs that are effective for control in order to minimize the energy to co…
Learning Stabilizable Deep Dynamics Models
Kenji Kashima, Ryota Yoshiuchi, Yu Kawano
When neural networks are used to model dynamics, properties such as stability of the dynamics are generally not guaranteed. In contrast, there is a recent method for learning the d…
Sinkhorn MPC: Model predictive optimal transport over dynamical systems
Kaito Ito, Kenji Kashima
We consider the optimal control problem of steering an agent population to a desired distribution over an infinite horizon. This is an optimal transport problem over a dynamical sy…