2 citations · 4 across the 4 of their papers we have counts for
4 papers
Inverse optimal control for averaged cost per stage linear quadratic regulators
Han Zhang, Axel Ringh
Inverse Optimal Control (IOC) is a powerful framework for learning a behaviour from observations of experts. The framework aims to identify the underlying cost function that the ob…
Statistically consistent inverse optimal control for discrete-time indefinite linear-quadratic systems
Han Zhang, Axel Ringh
The Inverse Optimal Control (IOC) problem is a structured system identification problem that aims to identify the underlying objective function based on observed optimal trajectori…
Inverse linear-quadratic discrete-time finite-horizon optimal control for indistinguishable homogeneous agents: a convex optimization approach
Han Zhang, Axel Ringh
The inverse linear-quadratic optimal control problem is a system identification problem whose aim is to recover the quadratic cost function and hence the closed-loop system matrice…
Inverse Quadratic Optimal Control for Discrete-Time Linear Systems
Han Zhang, Jack Umenberger, Xiaoming Hu
In this paper, we consider the inverse optimal control problem for the discrete-time linear quadratic regulator, over finite-time horizons. Given observations of the optimal trajec…