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 '26: Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems (pp.1928-1937). Association for Computing Machinery, Inc [10.65109/MQDV9851]. 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

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

Pang, B., Hu, X., Zhang, M., Alam, S., Lulli, G. (2025). Decentralized Deep Reinforcement Learning for Cooperative Multi-Agent Flight Trajectory Planning in Adverse Weather. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS (pp.2705-2707). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). Dettaglio