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2020 – today
- 2024
[i4]Simone Fioravanti, Steve Hanneke, Shay Moran, Hilla Schefler, Iska Tsubari:
Ramsey Theorems for Trees and a General 'Private Learning Implies Online Learning' Theorem. CoRR abs/2407.07765 (2024)- 2023
- [c6]Simone Fioravanti
, Michele Flammini, Bojana Kodric, Giovanna Varricchio:
PAC Learning and Stabilizing Hedonic Games: Towards a Unifying Approach. AAAI 2023: 5641-5648 - [c5]Simone Fioravanti, Michele Flammini, Bojana Kodric, Giovanna Varricchio:
ε-fractional core stability in Hedonic Games. NeurIPS 2023 - [i3]Simone Fioravanti, Michele Flammini, Bojana Kodric, Giovanna Varricchio:
PAC learning and stabilizing Hedonic Games: towards a unifying approach. CoRR abs/2301.13756 (2023) - [i2]Simone Fioravanti, Michele Flammini, Bojana Kodric, Giovanna Varricchio:
ε-fractional Core Stability in Hedonic Games. CoRR abs/2311.11101 (2023) - 2022
- [c4]Martino Bernasconi, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Francesco Trovò:
The Evolutionary Dynamics of Soft-Max Policy Gradient in Multi-Agent Settings. AAMAS 2022: 1545-1547 - [c3]Giorgio Manganini, Simone Fioravanti, Giorgia Ramponi:
Newton-based Policy Search for Networked Multi-agent Reinforcement Learning. CDC 2022: 7241-7247 - 2021
- [c2]Martino Bernasconi de Luca, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Alberto Marchesi, Francesco Trovò:
Exploiting Opponents Under Utility Constraints in Sequential Games. NeurIPS 2021: 13177-13188
2010 – 2019
- 2019
- [c1]Raffaello Carosi, Simone Fioravanti, Luciano Gualà, Gianpiero Monaco:
Coalition Resilient Outcomes in Max k-Cut Games. SOFSEM 2019: 94-107 - 2018
- [i1]Raffaello Carosi, Simone Fioravanti, Luciano Gualà, Gianpiero Monaco:
Coalition Resilient Outcomes in Max k-Cut Games. CoRR abs/1810.09278 (2018)
Coauthor Index
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