Agent independent probabilistic robustness certificates for robust optimization programs with uncertain quadratic cost. - George Pantazis 001; Filiberto Fele; Kostas Margellos (CDC, 2020)

Probabilistically robust stabilizing allocations in uncertain cooperative games. - George Pantazis 001; Filippo Fabiani; Filiberto Fele; Kostas Margellos (CoRR, 2022)

Probabilistically Robust Stabilizing Allocations in Uncertain Coalitional Games. - George Pantazis 001; Filippo Fabiani; Filiberto Fele; Kostas Margellos (IEEE Control. Syst. Lett., 2022)

On the probabilistic feasibility of solutions in multi-agent optimization problems under uncertainty. - George Pantazis 001; Filiberto Fele; Kostas Margellos (Eur. J. Control, 2022)

Distributionally robust stability of payoff allocations in stochastic coalitional games. - George Pantazis 001; Barbara Franci; Sergio Grammatico; Kostas Margellos (CDC, 2023)

Data-driven Wasserstein distributionally robust Nash equilibrium problems. - George Pantazis 001; Barbara Franci; Sergio Grammatico (CoRR, 2023)

An Efficient Risk-aware Branch MPC for Automated Driving that is Robust to Uncertain Vehicle Behaviors. - Luyao Zhang; Georgios Pantazis 001; Shaohang Han; Sergio Grammatico (CDC, 2024)

Probably approximately correct stability of allocations in uncertain coalitional games with private sampling. - George Pantazis 001; Filiberto Fele; Filippo Fabiani; Sergio Grammatico; Kostas Margellos (L4DC, 2024)

A priori data-driven robustness guarantees on strategic deviations from generalised Nash equilibria. - Georgios Pantazis 001; Filiberto Fele; Kostas Margellos (Autom., 2024)

Nash equilibrium seeking for a class of quadratic-bilinear Wasserstein distributionally robust games. - George Pantazis 001; Reza Rahimi Bahbadorani; Sergio Grammatico (CoRR, 2024)

A User-centric Game for Balancing V2G Benefits with Battery Degradation of Electric Vehicles. - Arghya Mallick; George Pantazis 001; Peyman Mohajerin Esfahani; Sergio Grammatico (CoRR, 2025)

User-centric Vehicle-to-Grid Optimization with an Input Convex Neural Network-based Battery Degradation Model. - Arghya Mallick; George Pantazis 001; Mohammad Khosravi; Peyman Mohajerin Esfahani; Sergio Grammatico (CoRR, 2025)