| Efficiently computing nash equilibria in adversarial team markov games F Kalogiannis, I Anagnostides, I Panageas, EV Vlatakis-Gkaragkounis, ... arXiv preprint arXiv:2208.02204, 2022 | 19 | 2022 |
| Zero-sum polymatrix markov games: Equilibrium collapse and efficient computation of nash equilibria F Kalogiannis, I Panageas Advances in Neural Information Processing Systems 36, 2024 | 12 | 2024 |
| 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 | 10 | 2023 |
| Towards convergence to Nash equilibria in two-team zero-sum games F Kalogiannis, I Panageas, EV Vlatakis-Gkaragkounis arXiv preprint arXiv:2111.04178, 2021 | 10* | 2021 |
| A Deep Learning Pipeline for the Synthesis of Graphic Novels. T Melistas, G Siglidis, F Kalogiannis, I Manouach ICCC, 256-265, 2021 | 3 | 2021 |
| 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 | 1 | 2024 |
| 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 UC Irvine, 2024 | | 2024 |
| Nash Equilibria in Reward-Potential Markov Games: Algorithms, Complexity, and Applications F Kalogiannis, I Panageas | | |
