Safe Multi-Agent Reinforcement Learning via Approximate Hamilton-Jacobi Reachability
- 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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Safe Multi-Agent Reinforcement Learning via Approximate Hamilton-Jacobi Reachability ; volume:111 ; number:1 ; day:30 ; month:12 ; year:2024 ; pages:1-14 ; date:3.2025
Journal of intelligent & robotic systems ; 111, Heft 1 (30.12.2024), 1-14, 3.2025
- Urheber
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Zhu, Kai
Lan, Fengbo
Zhao, Wenbo
Zhang, Tao
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s10846-024-02156-6
- URN
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urn:nbn:de:101:1-2503072100477.549076738742
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
31.01.2023, 09:15 MEZ
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Beteiligte
- Zhu, Kai
- Lan, Fengbo
- Zhao, Wenbo
- Zhang, Tao
- SpringerLink (Online service)
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