Citations refer to the original publication, not to a Scieee localized version.
Li, H., Wu, X., Ribeiro, M., Santos, B., & Zheng, P. (2025). Deep reinforcement learning approach for real-time airport gate assignment. Operations Research Perspectives, 14, 1–15. https://doi.org/10.1016/j.orp.2025.100338
Li, Haonan, et al. “Deep reinforcement learning approach for real-time airport gate assignment.” Operations Research Perspectives, vol. 14, 2025, pp. 1–15. https://doi.org/10.1016/j.orp.2025.100338.
Li, Haonan, Xu Wu, Marta Ribeiro, Bruno Santos, and Pan Zheng. “Deep reinforcement learning approach for real-time airport gate assignment.” Operations Research Perspectives 14 (2025): 1–15. https://doi.org/10.1016/j.orp.2025.100338.
Li, H. et al. (2025) ‘Deep reinforcement learning approach for real-time airport gate assignment’, Operations Research Perspectives, 14, pp. 1–15. Available at: https://doi.org/10.1016/j.orp.2025.100338.
H. Li, X. Wu, M. Ribeiro, B. Santos, and P. Zheng, “Deep reinforcement learning approach for real-time airport gate assignment,” Operations Research Perspectives, vol. 14, pp. 1–15, 2025, doi: 10.1016/j.orp.2025.100338.
@article{li2025deep,
author = {Li, Haonan and Wu, Xu and Ribeiro, Marta and Santos, Bruno and Zheng, Pan},
title = {Deep reinforcement learning approach for real-time airport gate assignment},
journal = {Operations Research Perspectives},
year = {2025},
volume = {14},
pages = {1--15},
publisher = {Amsterdam: Elsevier},
doi = {10.1016/j.orp.2025.100338},
url = {https://doi.org/10.1016/j.orp.2025.100338}
}
