Efficient state representation with artificial potential fields for reinforcement learning
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2198-6053
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Efficient state representation with artificial potential fields for reinforcement learning ; day:22 ; month:2 ; year:2023 ; pages:1-12
Complex & intelligent systems ; (22.2.2023), 1-12
- Klassifikation
-
Informatik
- Urheber
-
Jiang, Hao
Li, Shengze
Zhang, Jieyuan
Zhu, Yuqi
Xu, Xinhai
Liu, Donghong
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s40747-023-00995-8
- URN
-
urn:nbn:de:101:1-2023042821015714882728
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 10:58 MESZ
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Beteiligte
- Jiang, Hao
- Li, Shengze
- Zhang, Jieyuan
- Zhu, Yuqi
- Xu, Xinhai
- Liu, Donghong
- SpringerLink (Online service)
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