2 papers
cs.LG2026
Randomized Kriging Believer for Parallel Bayesian Optimization with Regret Bounds
Shuhei Sugiura, Ichiro Takeuchi, Shion Takeno
We consider the optimization problem of an expensive-to-evaluate black-box function, in which we can obtain noisy function values in parallel. For this problem, parallel Bayesian o…
math.OC2024
Data-driven Estimation of the Algebraic Riccati Equation for the Discrete-Time Inverse Linear Quadratic Regulator Problem
Shuhei Sugiura, Ryo Ariizumi, Masaya Tanemura +2
In this paper, we propose a method for estimating the algebraic Riccati equation (ARE) with respect to an unknown discrete-time system from the system state and input observation.…