activity
20192025
most citedTemporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking

8 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

cs.GT2025

Quickest Detection of Adversarial Attacks Against Correlated Equilibria

Kiarash Kazari, Aris Kanellopoulos, György Dán

We consider correlated equilibria in strategic games in an adversarial environment, where an adversary can compromise the public signal used by the players for choosing their strat…

eess.SY2025

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.…

cs.GT2021

Intelligent Players in a Fictitious Play Framework

Bhaskar Vundurthy, Aris Kanellopoulos, Vijay Gupta +1

Fictitious play is a popular learning algorithm in which players that utilize the history of actions played by the players and the knowledge of their own payoff matrix can converge…

eess.SY2021★ 8 cited

Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking

Aris Kanellopoulos, Filippos Fotiadis, Chuangchuang Sun +4

In this paper, we develop safe reinforcement-learning-based controllers for systems tasked with accomplishing complex missions that can be expressed as linear temporal logic specif…

cs.LG2020

A Multi-step and Resilient Predictive Q-learning Algorithm for IoT with Human Operators in the Loop: A Case Study in Water Supply Networks

Maria Grammatopoulou, Aris Kanellopoulos, Kyriakos G. ~Vamvoudakis +1

We consider the problem of recommending resilient and predictive actions for an IoT network in the presence of faulty components, considering the presence of human operators manipu…

eess.SY2020

Intersection-Traffic Control of Autonomous Vehicles using Newton-Raphson Flows and Barrier Functions

Shashwat Shivam, Yorai Wardi, Magnus Egerstedt +2

This paper concerns an application of a recently-developed nonlinear tracking technique to trajectory control of autonomous vehicles at traffic intersections. The technique uses a…

cs.MA2019

A Predictive Deep Learning Approach to Output Regulation: The Case of Collaborative Pursuit Evasion

Shashwat Shivam, Aris Kanellopoulos, Kyriakos G. Vamvoudakis +1

In this paper, we consider the problem of controlling an underactuated system in unknown, and potentially adversarial environments. The emphasis will be on autonomous aerial vehicl…