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math.OC2026

Adaptive Mitigation of Insider Threats via Off-Policy Learning

Gehui Xu, Kaiwen Chen, Zhong-Ping Jiang +2

An insider is a team member who covertly deviates from the team's optimal collaborative strategy to pursue a private objective while still appearing cooperative. Such an insider ma…

math.OC2025

Game-Theoretic Learning-Based Mitigation of Insider Threats

Gehui Xu, Kaiwen Chen, Thomas Parisini +1

An insider is defined as a team member who covertly deviates from the team's optimal collaborative control strategy in pursuit of a private objective, while maintaining an outward…

math.OC2025

When Does Selfishness Align with Team Goals? A Structural Analysis of Equilibrium and Optimality

Gehui Xu, Thomas Parisini, Andreas A. Malikopoulos

This paper investigates the relationship between the team-optimal solution and the Nash equilibrium (NE) to assess the impact of self-interested decisions on team performance. In c…

math.OC2025

Projected Gradient Descent for Constrained Decision-Dependent Optimization

Zifan Wang, Changxin Liu, Thomas Parisini +2

This paper considers the decision-dependent optimization problem, where the data distributions react in response to decisions affecting both the objective function and linear const…

math.OC2024

A Multi-Player Potential Game Approach for Sensor Network Localization with Noisy Measurements

Gehui Xu, Guanpu Chen, Baris Fidan +4

Sensor network localization (SNL) is a challenging problem due to its inherent non-convexity and the effects of noise in inter-node ranging measurements and anchor node position. W…