Exoatmospheric Evasion Guidance Law with Total Energy Limit via Constrained Reinforcement Learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
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Exoatmospheric Evasion Guidance Law with Total Energy Limit via Constrained Reinforcement Learning ; day:15 ; month:4 ; year:2024 ; pages:1-19
International journal of aeronautical and space sciences ; (15.4.2024), 1-19
- Urheber
-
Yan, Mengda
Yang, Rennong
Zhao, Yu
Yue, Longfei
Zhao, Xiaoru
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
-
10.1007/s42405-024-00722-8
- URN
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urn:nbn:de:101:1-2406272111139.691147734586
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:50 MESZ
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Beteiligte
- Yan, Mengda
- Yang, Rennong
- Zhao, Yu
- Yue, Longfei
- Zhao, Xiaoru
- SpringerLink (Online service)
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