| Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework A Castellini, M Bicego, F Masillo, M Zuccotto, A Farinelli Engineering Applications of Artificial Intelligence 90, 103499, 2020 | 20 | 2020 |
| Learning state-variable relationships for improving POMCP performance M Zuccotto, A Castellini, A Farinelli Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 739-747, 2022 | 8 | 2022 |
| Learning state-variable relationships in POMCP: A framework for mobile robots M Zuccotto, M Piccinelli, A Castellini, E Marchesini, A Farinelli Frontiers in Robotics and AI 9, 819107, 2022 | 6 | 2022 |
| Iot systems for healthy and safe life environments M Capuzzo, A Zanella, M Zuccotto, F Cunico, M Cristani, A Castellini, ... 2022 IEEE 7th Forum on Research and Technologies for Society and Industry …, 2022 | 5 | 2022 |
| Reinforcement learning applications in environmental sustainability: a review M Zuccotto, A Castellini, DL Torre, L Mola, A Farinelli Artificial Intelligence Review 57 (4), 88, 2024 | 1 | 2024 |
| Safe and Efficient Reinforcement Learning for Environmental Monitoring F Bianchi, D Corsi, L Marzari, D Meli, F Trotti, M Zuccotto, A Castellini, ... Proceedings of the Italia Intelligenza Artificiale-Thematic Workshops co …, 2023 | 1 | 2023 |
| Learning environment properties in Partially Observable Monte Carlo Planning M Zuccotto, A Castellini, M Piccinelli, E Marchesini, A Farinelli AIRO 2021 Artificial Intelligence and Robotics 2021 3162, 50-57, 2022 | | 2022 |
