APA (7th ed.) Citation

Baneshi, F., Cerezo-Magaña, M., & Soler, M. (2025). Network-level aircraft trajectory planning via multi-agent deep reinforcement learning: Balancing climate considerations and operational manageability. Expert systems with applications, 271, 126604. https://doi.org/10.1016/j.eswa.2025.126604

Chicago Style (17th ed.) Citation

Baneshi, Fateme, María Cerezo-Magaña, and Manuel Soler. "Network-level Aircraft Trajectory Planning via Multi-agent Deep Reinforcement Learning: Balancing Climate Considerations and Operational Manageability." Expert Systems with Applications 271 (2025): 126604. https://doi.org/10.1016/j.eswa.2025.126604.

MLA (9th ed.) Citation

Baneshi, Fateme, et al. "Network-level Aircraft Trajectory Planning via Multi-agent Deep Reinforcement Learning: Balancing Climate Considerations and Operational Manageability." Expert Systems with Applications, vol. 271, 2025, p. 126604, https://doi.org/10.1016/j.eswa.2025.126604.