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Stelios Stavroulakis
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Efficiently computing nash equilibria in adversarial team markov games
F Kalogiannis, I Anagnostides, I Panageas, EV Vlatakis-Gkaragkounis, ...
arXiv preprint arXiv:2208.02204, 2022
192022
adaparl: Adaptive privacy-aware reinforcement learning for sequential decision making human-in-the-loop systems
M Taherisadr, SA Stavroulakis, S Elmalaki
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and …, 2023
122023
On scrambling phenomena for randomly initialized recurrent networks
V Chatziafratis, I Panageas, C Sanford, S Stavroulakis
Advances in Neural Information Processing Systems 35, 18501-18513, 2022
32022
Beating Price of Anarchy and Gradient Descent without Regret in Potential Games
J Sakos, S Leonardos, S Stavroulakis, W Overman, I Panageas, ...
The Twelfth International Conference on Learning Representations (ICLR 2024), 2024
12024
Reinforcement Learning for Location-Aware Warehouse Scheduling
SA Stavroulakis, B Sengupta
ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, 2022
12022
Convergence is Not Enough: Average-Case Performance of No-Regret Learning Dynamics
I Sakos, S Leonardos, W Overman, SA Stavroulakis, I Panageas, ...
1
Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints
N Patris, S Stavroulakis, F Kalogiannis, R Zhang, I Panageas
Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 9874-9882, 2024
2024
Reinforcement Learning for Location-Aware Scheduling
S Stavroulakis, B Sengupta
arXiv preprint arXiv:2203.03480, 2022
2022
Computing Nash Equilibria in Adversarial Stochastic Team Games
SA Stavroulakis
University of California, Irvine, 2022
2022
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