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2020 – today
- 2024
[c5]Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis, Rose Zhang, Ioannis Panageas:
Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints. AAAI 2024: 9874-9882- [c4]Iosif Sakos, Stefanos Leonardos, Stelios Andrew Stavroulakis, Will Overman, Ioannis Panageas, Georgios Piliouras:
Beating Price of Anarchy and Gradient Descent without Regret in Potential Games. ICLR 2024 - [i5]Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis, Rose Zhang, Ioannis Panageas:
Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints. CoRR abs/2402.07797 (2024) - 2023
- [c3]Fivos Kalogiannis, Ioannis Anagnostides, Ioannis Panageas, Emmanouil V. Vlatakis-Gkaragkounis
, Vaggos Chatziafratis, Stelios Andrew Stavroulakis:
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games. ICLR 2023 - [c2]Mojtaba Taherisadr, Stelios Andrew Stavroulakis, Salma Elmalaki:
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential Decision Making Human-in-the-Loop Systems. IoTDI 2023: 262-274 - [i4]Mojtaba Taherisadr, Stelios Andrew Stavroulakis, Salma Elmalaki:
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential-Decision Making Human-in-the-Loop Systems. CoRR abs/2303.04257 (2023) - 2022
- [c1]Vaggos Chatziafratis, Ioannis Panageas, Clayton Sanford, Stelios Stavroulakis:
On Scrambling Phenomena for Randomly Initialized Recurrent Networks. NeurIPS 2022 - [i3]Stelios Stavroulakis, Biswa Sengupta:
Reinforcement Learning for Location-Aware Scheduling. CoRR abs/2203.03480 (2022) - [i2]Fivos Kalogiannis, Ioannis Anagnostides, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Vaggos Chatziafratis, Stelios Stavroulakis:
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games. CoRR abs/2208.02204 (2022) - [i1]Vaggos Chatziafratis, Ioannis Panageas, Clayton Sanford, Stelios Andrew Stavroulakis:
On Scrambling Phenomena for Randomly Initialized Recurrent Networks. CoRR abs/2210.05212 (2022)
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