Adaptive dynamic programming with reinforcement learning on optimization of flight departure scheduling

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.
Appears in Collections:	Journal/Magazine Article

Status	open access
File Version	Version of Record

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