On Scrambling Phenomena for Randomly Initialized Recurrent Networks. - Vaggos Chatziafratis; Ioannis Panageas; Clayton Sanford; Stelios Stavroulakis (NeurIPS, 2022)

Reinforcement Learning for Location-Aware Scheduling. - Stelios Stavroulakis; Biswa Sengupta (CoRR, 2022)

Efficiently Computing Nash Equilibria in Adversarial Team Markov Games. - Fivos Kalogiannis; Ioannis Anagnostides; Ioannis Panageas; Emmanouil V. Vlatakis-Gkaragkounis; Vaggos Chatziafratis; Stelios Andrew Stavroulakis (ICLR, 2023)

adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential Decision Making Human-in-the-Loop Systems. - Mojtaba Taherisadr; Stelios Andrew Stavroulakis; Salma Elmalaki 001 (IoTDI, 2023)

Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints. - Nikolas Patris; Stelios Stavroulakis; Fivos Kalogiannis; Rose Zhang; Ioannis Panageas (AAAI, 2024)

Beating Price of Anarchy and Gradient Descent without Regret in Potential Games. - Iosif Sakos; Stefanos Leonardos; Stelios Andrew Stavroulakis; Will Overman; Ioannis Panageas; Georgios Piliouras (ICLR, 2024)