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LExCI: A framework for reinforcement learning with embedded systems

; ; ; ; ; ;

In
Applied intelligence 54(17/18), Seiten/Artikel-Nr.:8384-8398

ImpressumDordrecht [u.a.] : Springer Science + Business Media B.V

ISSN0924-669X

Online
DOI: 10.18154/RWTH-2024-06432
DOI: 10.1007/s10489-024-05573-0

URL: https://publications.rwth-aachen.de/record/988841/files/988841.pdf

Einrichtungen

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


Thematische Einordnung (Klassifikation)
DDC: 004

OpenAccess:
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Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85197184715
WOS Core Collection: WOS:001255188700003

Interne Identnummern
RWTH-2024-06432
Datensatz-ID: 988841

Beteiligte Länder
Germany

 GO


Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Dataset  ;  ;  ;  ;  ;
Safe Reinforcement Learning for Real-World Engine Control Data and Scripts
Zenodo () [10.5281/ZENODO.14499423]  GO BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;  ;  ;
LExCI: A Framework for Reinforcement Learning with Embedded Systems
22 Seiten () [10.48550/arXiv.2312.02739]  GO OpenAccess   Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS


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 Record created 2024-07-08, last modified 2025-09-11


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