| 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 | 16 | 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 | 13 | 2019 |
| 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 | 3 | 2023 |
| The evolutionary dynamics of soft-max policy gradient in multi-agent settings M Bernasconi, F Cacciamani, S Fioravanti, N Gatti, F Trovò Theoretical Computer Science 1027, 115011, 2025 | 2 | 2025 |
| 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 games M Bernasconi, F Cacciamani, S Fioravanti, N Gatti, F Trovo, ... Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 2 | 2022 |
| Ramsey Theorems for Trees and a General ‘Private Learning Implies Online Learning’Theorem S Fioravanti, S Hanneke, S Moran, H Schefler, I Tsubari 2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS …, 2024 | | 2024 |