LULLI GUGLIELMO

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

De Giovanni, L., Lancia, C., Lulli, G. (2024). Data-driven optimization for Air Traffic Flow Management with trajectory preferences. TRANSPORTATION SCIENCE, 58(2 (March-April 2024)), 540-556 [10.1287/trsc.2022.0309]. Dettaglio

Li, J., Dokka, T., Lulli, G. (2023). Solving Optimal Transmission Switching Problem via DC Power Flow Approximation. In 2023 IEEE Power & Energy Society General Meeting (PESGM). IEEE Computer Society [10.1109/PESGM52003.2023.10252565]. Dettaglio

Butterwick, T., Kheiri, A., Lulli, G., Gromicho, J., Kreeft, J. (2023). Application of selection hyper-heuristics to the simultaneous optimisation of turbines and cabling within an offshore windfarm. RENEWABLE ENERGY, 208(May 2023), 1-16 [10.1016/j.renene.2023.03.075]. Dettaglio