Coalition Resilient Outcomes in Max k-Cut Games. - Raffaello Carosi; Simone Fioravanti; Luciano Gualà; Gianpiero Monaco (SOFSEM, 2019)

Exploiting Opponents Under Utility Constraints in Sequential Games. - Martino Bernasconi de Luca; Federico Cacciamani; Simone Fioravanti; Nicola Gatti 001; Alberto Marchesi 001; Francesco Trovò (NeurIPS, 2021)

Newton-based Policy Search for Networked Multi-agent Reinforcement Learning. - Giorgio Manganini; Simone Fioravanti; Giorgia Ramponi (CDC, 2022)

PAC Learning and Stabilizing Hedonic Games: Towards a Unifying Approach. - Simone Fioravanti; Michele Flammini; Bojana Kodric; Giovanna Varricchio (AAAI, 2023)

ε-fractional core stability in Hedonic Games. - Simone Fioravanti; Michele Flammini; Bojana Kodric; Giovanna Varricchio (NeurIPS, 2023)

Ramsey Theorems for Trees and a General 'Private Learning Implies Online Learning' Theorem. - Simone Fioravanti; Steve Hanneke; Shay Moran; Hilla Schefler; Iska Tsubari (FOCS, 2024)

The evolutionary dynamics of soft-max policy gradient in multi-agent settings. - Martino Bernasconi; Federico Cacciamani; Simone Fioravanti; Nicola Gatti 001; Francesco Trovò (Theor. Comput. Sci., 2025)

The Panel Complexity of Sortition: Is 12 Angry Men Enough? - Johannes Brustle; Simone Fioravanti; Tomasz Ponitka; Jeremy Vollen (CoRR, 2025)