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LExCI: A Framework for Reinforcement Learning with Embedded Systems

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Umfang22 Seiten

Online
DOI: 10.48550/arXiv.2312.02739


Einrichtungen

  1. Lehr- und Forschungsgebiet Mechatronik in mobilen Antrieben (422320)


Inhaltliche Beschreibung (Schlagwörter)
FOS: Computer and information sciences (Genormte SW) ; Machine Learning (cs.LG) (Genormte SW)

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Dokumenttyp
Preprint

Format
online

Sprache
English

Externe Identnummern
arXiv: arXiv:2312.02739

Interne Identnummern
RWTH-2024-00581
Datensatz-ID: 977077

Beteiligte Länder
Germany

 GO

Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;  ;  ;
LExCI: A framework for reinforcement learning with embedded systems
Applied intelligence 54(17/18), 8384-8398 () [10.1007/s10489-024-05573-0]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

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Faculty of Mechanical Engineering (Fac.4)
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422320
 Record created 2024-01-16, last modified 2024-10-23
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