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

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

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

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