LULLI GUGLIELMO

Pang, B., Zhang, M., Hu, X., Pham, D., Alam, S., Lulli, G. (2026). Constrained Multi-Agent Reinforcement Learning with MAF-Net for Safe Trajectory Planning. In AAMAS 2026 Conference Proceedings (pp.1928-1937). Dettaglio

Hu, X., Pang, B., Zhang, M., Alam, S., Lulli, G. (2025). Automated Multi-Aircraft Rerouting under Convective Weather Using Policy-Shared Deep Reinforcement Learning. In 2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI) (pp.277-283). IEEE Computer Society [10.1109/ICTAI66417.2025.00043]. Dettaglio

Blanch Romero, A., De Urrengoechea, T., Delahaye, D., Guitart, A., Lema-Esposto, M., Lui, G., et al. (2025). SMARTS Solution for Airspace Design and Configuration. In 15th SESAR Innovation Days, SIDs 2025. SESAR Joint Undertaking. Dettaglio

Lui, G., Lulli, G., Carro, I., Martinez, R., De Giovanni, L., Galeazzo, M. (2025). A robust optimization approach for dynamic airspace configuration. In 16th USA-Europe Seminar on Air Traffic Management Research and Development, ATM 2025 (pp.238-248). Eurocontrol. Dettaglio

Pang, B., Hu, X., Zhang, M., Alam, S., Lulli, G. (2025). A multi-aircraft co-operative trajectory planning model under dynamic thunderstorm cells using decentralized deep reinforcement learning. ADVANCED ENGINEERING INFORMATICS, 65(Part A (May 2025)) [10.1016/j.aei.2025.103157]. Dettaglio