Weapon-Target Assignment by Reinforcement Learning with Pointer Network

JOURNAL OF AEROSPACE INFORMATION SYSTEMS(2023)

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No AccessTechnical NotesWeapon–Target Assignment by Reinforcement Learning with Pointer NetworkHyungho Na, Jaemyung Ahn and Il-Chul MoonHyungho Na https://orcid.org/0000-0002-7687-2513Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea*Ph.D. Candidate, Department of Aerospace Engineering.Search for more papers by this author, Jaemyung Ahn https://orcid.org/0000-0003-4971-5130Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea†Associate Professor, Department of Aerospace Engineering. Senior Member AIAA.Search for more papers by this author and Il-Chul Moon https://orcid.org/0000-0002-1798-1306Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea‡Professor, Department of Industrial and Systems Engineering.Search for more papers by this authorPublished Online:27 Nov 2022https://doi.org/10.2514/1.I011150SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] Ponda S. S., Johnson L. B., Geramifard A. and How J. P., “Cooperative Mission Planning for Multi-UAV Teams,” Handbook of Unmanned Aerial Vehicles, Vol. 2, Aug. 2015, pp. 1447–1490. https://doi.org/10.1007/978-90-481-9707-1_16 CrossrefGoogle Scholar[2] Johnson L. B., Choi H.-L., Ponda S. S. and How J. 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G., Reinforcement Learning: An Introduction, MIT Press, Cambridge, MA, 2018, pp. 329–332, Chap. 13. https://doi.org/0.1109/TNN.1998.712192 Google Scholar Previous article FiguresReferencesRelatedDetails What's Popular Volume 20, Number 1January 2023 Metrics CrossmarkInformationCopyright © 2022 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the eISSN 2327-3097 to initiate your request. See also AIAA Rights and Permissions www.aiaa.org/randp. TopicsAlgorithms and Data StructuresArtificial IntelligenceArtificial Neural NetworkComputing SystemComputing and InformaticsComputing, Information, and CommunicationControl SystemsData ScienceEvolutionary AlgorithmGenetic AlgorithmGuidance, Navigation, and Control SystemsMachine LearningMilitary ScienceMilitary TechnologyMissile Systems, Dynamics and TechnologyRoboticsRobotics SystemsWeapon Systems KeywordsWeapon Target AssignmentReinforcement LearningMarkov Decision ProcessArtificial Neural NetworkProbability DistributionParticle Swarm OptimizationStochastic Gradient DescentGenetic AlgorithmMixed Integer Linear ProgrammingMulti Agent SystemAcknowledgmentThis work was supported by Theater Defense Research Center funded by Defense Acquisition Program Administration under Grant UD200043CD.PDF Received17 May 2022Accepted7 November 2022Published online27 November 2022
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