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

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

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

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