16 citations · 29 across the 12 of their papers we have counts for
13 papers
Control Realization of Schrödinger Bridges over Discrete-Time Nonlinear Systems via Maximum-Entropy Distribution Steering
Kaito Ito, Kenji Kashima
This paper shows how a Schrodinger bridge (SB) structure emerges from maximum-entropy (MaxEnt) distribution steering of discrete-time nonlinear systems. We also establish that the…
Distribution Steering via Sliced Optimal Transport Control
Kaito Ito, Anqi Dong
Distribution steering seeks feedback laws that drive the state law of a dynamical system between prescribed initial and terminal distributions. Optimal transport provides a natural…
Sliced Wasserstein Steering between Gaussian Measures
Kaito Ito, Anqi Dong
Optimal transport with quadratic cost provides a geometric framework for steering an ensemble, modeled by a probability law, with minimal effort. Yet ambient-space formulations bec…
Optimal Centered Active Excitation in Linear System Identification
Kaito Ito, Alexandre Proutiere
We propose an active learning algorithm for linear system identification with optimal centered noise excitation. Notably, our algorithm, based on ordinary least squares and semidef…
Risk-sensitive control as inference with Rényi divergence
Kaito Ito, Kenji Kashima
This paper introduces the risk-sensitive control as inference (RCaI) that extends CaI by using Rényi divergence variational inference. RCaI is shown to be equivalent to log-probabi…
Maximum Entropy Density Control of Discrete-Time Linear Systems with Quadratic Cost
Kaito Ito, Kenji Kashima
This paper addresses the problem of steering the distribution of the state of a discrete-time linear system to a given target distribution while minimizing an entropy-regularized c…
Entropic Model Predictive Optimal Transport for Underactuated Linear Systems
Kaito Ito, Kenji Kashima
This letter investigates dynamical optimal transport of underactuated linear systems over an infinite time horizon. In our previous work, we proposed to integrate model predictive…
Entropic 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 dynamical syst…
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…
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…
Sparse optimal stochastic control
Kaito Ito, Takuya Ikeda, Kenji Kashima
In this paper, we investigate a sparse optimal control of continuous-time stochastic systems. We adopt the dynamic programming approach and analyze the optimal control via the valu…
Bayesian Differential Privacy for Linear Dynamical Systems
Genki Sugiura, Kaito Ito, Kenji Kashima
Differential privacy is a privacy measure based on the difficulty of discriminating between similar input data. In differential privacy analysis, similar data usually implies that…