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      Reinforcement Learning in Missile Guidance: A New Era of Tactical Precision

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      Author(s):   1 ,
      Publication date (Electronic preprint):
      Journal: ScienceOpen Preprints
      Publisher: ScienceOpen
      Keywords: Reinforcement Learning, Proportional Navigation, Guidance, Missile
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            Abstract

            Content

            Author and article information

            Journal
            Title: ScienceOpen Preprints
            Publisher: ScienceOpen
            Publication date (Electronic preprint): 5 February 2024
            Affiliations
            [1 ] Vel Atomics;
            Author notes
            Author information
            https://orcid.org/0009-0003-3005-0463
            Article
            DOI: 10.14293/PR2199.000691.v1
            SO-VID: 847320d4-6330-42b0-aaac-c7dde030d610
            License:

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            Date received : 5 February 2024
            Categories

            Data availability: Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            ScienceOpen disciplines: Performance, Systems & Control,Computer science,Artificial intelligence
            Keywords: Reinforcement Learning,Proportional Navigation,Guidance,Missile

            References

            1. Yang Chaojie, Wu Jiang, Liu Guoqing, Zhang Yuncan. Ballistic Missile Maneuver Penetration Based on Reinforcement Learning. 2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC). 2018. IEEE. [Cross Ref]

            2. Hong Daseon, Park Sungsu. Avoiding Obstacles via Missile Real-Time Inference by Reinforcement Learning. Applied Sciences. Vol. 12(9)2022. MDPI AG. [Cross Ref]

            3. Gaudet Brian, Furfaro Roberto. Missile Homing-Phase Guidance Law Design Using Reinforcement Learning. AIAA Guidance, Navigation, and Control Conference. 2012. American Institute of Aeronautics and Astronautics. [Cross Ref]

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