Revealing principles of autonomous thermal soaring in windy conditions using vulture-inspired deep reinforcement-learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Revealing principles of autonomous thermal soaring in windy conditions using vulture-inspired deep reinforcement-learning ; volume:15 ; number:1 ; day:10 ; month:6 ; year:2024 ; pages:1-14 ; date:12.2024
Nature Communications ; 15, Heft 1 (10.6.2024), 1-14, 12.2024
- Urheber
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Flato, Yoav
Harel, Roi
Tamar, Aviv
Nathan, Ran
Beatus, Tsevi
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1038/s41467-024-48670-x
- URN
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urn:nbn:de:101:1-2408162120596.540939678402
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 10:57 MESZ
Datenpartner
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Beteiligte
- Flato, Yoav
- Harel, Roi
- Tamar, Aviv
- Nathan, Ran
- Beatus, Tsevi
- SpringerLink (Online service)
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