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Safe Reinforcement Learning for Real-World Engine Control Data and Scripts

; ; ; ; ;

Ausgabev1

: Zenodo

Online
DOI: 10.5281/ZENODO.14499423


Einrichtungen

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

Projekte

  1. DFG project G:(GEPRIS)277012063 - FOR 2401: Optimierungsbasierte Multiskalenregelung motorischer Niedertemperatur-Brennverfahren (277012063) (277012063)


Dokumenttyp
Dataset

Format
online

Sprache
English

Interne Identnummern
RWTH-2024-12242
Datensatz-ID: 999652

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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The record appears in these collections:
Document types > Other document types
Research data > Datasets
Faculty of Mechanical Engineering (Fac.4)
Public records
Publications database
422320
 Record created 2024-12-20, last modified 2025-01-02
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