Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework. - Alberto Castellini; Manuele Bicego; Francesco Masillo; Maddalena Zuccotto; Alessandro Farinelli (Eng. Appl. Artif. Intell., 2020)

Learning Environment Properties in Partially Observable Monte Carlo Planning. - Maddalena Zuccotto; Alberto Castellini; Marco Piccinelli; Enrico Marchesini; Alessandro Farinelli (AIRO@AI*IA, 2021)

IoT Systems for Healthy and Safe Life Environments. - Martina Capuzzo; Andrea Zanella; Maddalena Zuccotto; Federico Cunico; Marco Cristani; Alberto Castellini; Alessandro Farinelli; Luciano Gamberini (RTSI, 2022)

Learning state-variable relationships for improving POMCP performance. - Maddalena Zuccotto; Alberto Castellini; Alessandro Farinelli (SAC, 2022)

Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots. - Maddalena Zuccotto; Marco Piccinelli; Alberto Castellini; Enrico Marchesini; Alessandro Farinelli (Frontiers Robotics AI, 2022)

Safe and Efficient Reinforcement Learning for Environmental Monitoring. - Federico Bianchi 002; Davide Corsi; Luca Marzari; Daniele Meli; Francesco Trotti; Maddalena Zuccotto; Alberto Castellini; Alessandro Farinelli (Ital-IA, 2023)

Reinforcement learning applications in environmental sustainability: a review. - Maddalena Zuccotto; Alberto Castellini; Davide La Torre; Lapo Mola; Alessandro Farinelli (Artif. Intell. Rev., 2024)