Publications

Multi-agent reinforcement learning

Efficiently Computing Nash Equilibria in Adversarial Team Markov Games

Fivos Kalogiannis, Ioannis Anagnostides, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Vaggos Chatziafratis, and Stelios Stavroulakis. ICLR 2023 — notable top 5%, oral presentation

Reinforcement Learning for Location-Aware Scheduling

Stelios Stavroulakis and Biswa Sengupta. ICLR 2022 Workshop on Generalizable Policy Learning in the Physical World

Game theory

The Complexity of Finding Local Optima in Contrastive Learning

Jingming Yan, Yiyuan Luo, Vaggos Chatziafratis, Ioannis Panageas, Parnian Shahkar, and Stelios Stavroulakis. NeurIPS 2025

Beating Price of Anarchy and Gradient Descent without Regret in Potential Games

Iosif Sakos, Stefanos Leonardos, Stelios Stavroulakis, William Overman, Ioannis Panageas, and Georgios Piliouras. ICLR 2024

Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints

Nikolas Patris, Fivos Kalogiannis, Rose Zhang, Stelios Stavroulakis, and Ioannis Panageas. AAAI 2024

Privacy-aware reinforcement learning

adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential-Decision Making Human-in-the-Loop Systems

Mojtaba Taherisadr, Stelios Stavroulakis, and Salma Elmalaki. IoTDI 2023

Expressivity of neural networks

On Scrambling Phenomena for Randomly Initialized Recurrent Networks

Stelios Stavroulakis, Vaggos Chatziafratis, Ioannis Panageas, and Clayton Sanford. NeurIPS 2022