60 citations · 106 across the 22 of their papers we have counts for
6 papers · 1 filter
Tailoring Reproducing Kernels for Optimal Control via Policy Iteration
Shengyuan Niu, Ali Bouland, Haoran Wang +5
This paper presents a novel approach to formulating the actor-critic method for optimal control by casting policy iteration in reproducing kernel Hilbert spaces (RKHSs -- also know…
Quantum Deception: Honey-X Deception using Quantum Games
Efstratios Reppas, Ali Wadi, Brendan Gould +1
In this paper, we develop a framework for deception in quantum games, extending the Honey-X paradigm from classical zero-sum settings into the quantum domain. Building on a view of…
A Novel Framework for Honey-X Deception in Zero-Sum Games
Brendan Gould, Kyriakos Vamvoudakis
In this paper, we present a novel, game-theoretic model of deception in two-player, zero-sum games. Our framework leverages an information asymmetry: one player (the deceiver) has…
Input-Output Data-Driven Sensor Selection for Cyber-Physical Systems
Filippos Fotiadis, Kyriakos G. Vamvoudakis
In this paper, we consider the problem of input-output data-driven sensor selection for unknown cyber-physical systems (CPS). In particular, out of a large set of sensors available…
Deception Against Data-Driven Linear-Quadratic Control
Filippos Fotiadis, Aris Kanellopoulos, Kyriakos G. Vamvoudakis +1
Deception is a common defense mechanism against adversaries with an information disadvantage. It can force such adversaries to select suboptimal policies for a defender's benefit.…
A Physics-Informed Learning Framework to Solve the Infinite-Horizon Optimal Control Problem
Filippos Fotiadis, Kyriakos G. Vamvoudakis
We propose a physics-informed neural networks (PINNs) framework to solve the infinite-horizon optimal control problem of nonlinear systems. In particular, since PINNs are generally…