Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/113969
Title: Adaptive dynamic programming with reinforcement learning on optimization of flight departure scheduling
Authors: Liu, H
Li, S
Sun, F
Fan, W
Ip, WH 
Yung, KL 
Issue Date: Sep-2024
Source: Aerospace, Sept 2024, v. 11, no. 9, 754
Abstract: 10.3390/aerospace11090754
Keywords: Department of Industrial and Systems Engineering
Publisher: Aerospace
ISSN: Aerospace
EISSN: 2226-4310
DOI: 10.3390/aerospace11090754
Rights: Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Liu, H., Li, S., Sun, F., Fan, W., Ip, W.-H., & Yung, K.-L. (2024). Adaptive Dynamic Programming with Reinforcement Learning on Optimization of Flight Departure Scheduling. Aerospace, 11(9), 754 is available at https://doi.org/10.3390/aerospace11090754.
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