Computationally Efficient Harmonic-Based Reactive Exploration. - Panagiotis D. Grontas; Panagiotis Vlantis; Charalampos P. Bechlioulis; Kostas J. Kyriakopoulos (IEEE Robotics Autom. Lett., 2020)

Distributed and Constrained H2 Control Design via System Level Synthesis and Dual Consensus ADMM. - Panagiotis D. Grontas; Michael W. Fisher; Florian Dörfler (CDC, 2022)

Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype. - Panagiotis D. Grontas; Carlo Cenedese; Marta Fochesato; Giuseppe Belgioioso; John Lygeros; Florian Dörfler (CDC, 2023)

Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype algorithm. - Panagiotis D. Grontas; Carlo Cenedese; Marta Fochesato; Giuseppe Belgioioso; John Lygeros; Florian Dörfler (CoRR, 2023)

Operator Splitting for Convex Constrained Markov Decision Processes. - Panagiotis D. Grontas; Anastasios Tsiamis; John Lygeros (CoRR, 2024)

BIG Hype: Best Intervention in Games via Distributed Hypergradient Descent. - Panagiotis D. Grontas; Giuseppe Belgioioso; Carlo Cenedese; Marta Fochesato; John Lygeros; Florian Dörfler (IEEE Trans. Autom. Control., 2024)

Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach. - Colin Dirren; Mattia Bianchi; Panagiotis D. Grontas; John Lygeros; Florian Dörfler (AISTATS, 2025)

Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design. - Marino Kühne; Panagiotis D. Grontas; Giulia De Pasquale; Giuseppe Belgioioso; Florian Dörfler; John Lygeros (CoRR, 2025)

Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers. - Panagiotis D. Grontas; Antonio Terpin; Efe C. Balta; Raffaello D'Andrea; John Lygeros (CoRR, 2025)