Exploiting opponents under utility constraints in sequential games M Bernasconi-de-Luca, F Cacciamani, S Fioravanti, N Gatti, A Marchesi, ... Advances in Neural Information Processing Systems 34, 13177-13188, 2021 | 15 | 2021 |
Coalition Resilient Outcomes in Max k-Cut Games R Carosi, S Fioravanti, L Gualà, G Monaco International Conference on Current Trends in Theory and Practice of …, 2019 | 11 | 2019 |
PAC learning and stabilizing Hedonic Games: towards a unifying approach. S Fioravanti, M Flammini, B Kodric, G Varricchio Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 5641-5648, 2023 | 2 | 2023 |
Newton-based Policy Search for Networked Multi-agent Reinforcement Learning G Manganini, S Fioravanti, G Ramponi 2022 IEEE 61st Conference on Decision and Control (CDC), 7241-7247, 2022 | 2 | 2022 |
The Evolutionary Dynamics of Soft-Max Policy Gradient in Multi-Agent Setting M Bernasconi, F Cacciamani, S Fioravanti, N Gatti, F Trovò Available at SSRN 4159835, 2022 | 2 | 2022 |
The evolutionary dynamics of soft-max policy gradient in games M Bernasconi, F Cacciamani, S Fioravanti, N Gatti, F Trovo, ... Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 2 | 2022 |
ε-fractional core stability in hedonic games S Fioravanti, M Flammini, B Kodric, G Varricchio Proceedings of the 37th International Conference on Neural Information …, 2023 | 1 | 2023 |
Ramsey Theorems for Trees and a General'Private Learning Implies Online Learning'Theorem S Fioravanti, S Hanneke, S Moran, H Schefler, I Tsubari arXiv preprint arXiv:2407.07765, 2024 | | 2024 |
-fractional core stability in Hedonic Games. S Fioravanti, M Flammini, B Kodric, G Varricchio Advances in Neural Information Processing Systems 36, 2024 | | 2024 |