activity
20192026
most citedUWB Ranging and IMU Data Fusion: Overview and Nonlinear Stochastic Filter for Inertial Navigation

60 citations · 106 across the 22 of their papers we have counts for

collaborators

25 papers

cs.AI2026

Meta-Multi-Agent Reinforcement Learning for Fast Adaptation of Interactive Policies with Applications to Autonomous Driving

Huiwen Yan, Kyriakos G. Vamvoudakis, Mushuang Liu

This paper develops a meta-multi-agent reinforcement learning (meta-MARL) framework to enable fast adaptation of interactive policies in a multi-agent system (MAS). Meta-reinforcem…

eess.SY2026

Anytime Primal--Dual Certification of the Maximum Disturbance Radius in Robust MPC

Wenqi Cai, Muhammad Bakr Abdelghany, Kyriakos G. Vamvoudakis +1

Adjustable-set robust model predictive control (MPC) characterizes a state-dependent maximum disturbance radius, which can be interpreted as a certified robustness reserve. Existin…

math.OC2026

Over-Approximating Minimizer Sets of Constrained Convex Programs with Parametric Uncertainty via Reachability Analysis

Brendan Gould, Chih-Yuan Chiu, Antoine P. Leeman +3

We study the set of solutions to a parameterized, strongly convex optimization problem whose cost depends on uncertain, bounded parameters. We compute a certified outer approximati…

cs.RO2026

Cost-Matching Model Predictive Control for Efficient Reinforcement Learning in Humanoid Locomotion

Wenqi Cai, Kyriakos G. Vamvoudakis, Sébastien Gros +1

In this paper, we propose a cost-matching approach for optimal humanoid locomotion within a Model Predictive Control (MPC)-based Reinforcement Learning (RL) framework. A parameteri…

math.OC2025

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…

eess.SY2025

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…