Stebėti
Fivos Kalogiannis
Fivos Kalogiannis
PhD student, UCSD
Patvirtintas el. paštas ucsd.edu - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Efficiently computing nash equilibria in adversarial team markov games
F Kalogiannis, I Anagnostides, I Panageas, EV Vlatakis-Gkaragkounis, ...
arXiv preprint arXiv:2208.02204, 2022
212022
Algorithms and complexity for computing nash equilibria in adversarial team games
I Anagnostides, F Kalogiannis, I Panageas, EV Vlatakis-Gkaragkounis, ...
arXiv preprint arXiv:2301.02129, 2023
132023
Towards convergence to Nash equilibria in two-team zero-sum games
F Kalogiannis, I Panageas, EV Vlatakis-Gkaragkounis
arXiv preprint arXiv:2111.04178, 2021
12*2021
Zero-sum polymatrix markov games: Equilibrium collapse and efficient computation of nash equilibria
F Kalogiannis, I Panageas
Advances in Neural Information Processing Systems 36, 59996-60020, 2023
112023
A Deep Learning Pipeline for the Synthesis of Graphic Novels.
T Melistas, G Siglidis, F Kalogiannis, I Manouach
ICCC, 256-265, 2021
42021
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem
F Kalogiannis, J Yan, I Panageas
arXiv preprint arXiv:2410.05673, 2024
32024
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
Structure and Computation of Equilibria in Markov Games
F Kalogiannis
University of California, Irvine, 2024
2024
Nash Equilibria in Reward-Potential Markov Games: Algorithms, Complexity, and Applications
F Kalogiannis, I Panageas
Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.
Straipsniai 1–9