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Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization

; ; ; ; ;

In
CoRL Workshop on Safe and Robust Robot Learning for Operation in the Real World : CoRL 2024 Workshop SAFE-ROL, Seiten/Artikel-Nr: [1]-12

Konferenz/Event:CoRL Workshop on Safe and Robust Robot Learning for Operation in the Real World , Munich , Germany , CoRL 2024 Workshop SAFE-ROL , 2024-11-09 - 2024-11-09

Konferenz/Event:Conference on Robot Learning 2024 , Munich , Germany , CoRL 2024 , 2024-11-06 - 2024-11-09

Umfang[1]-12

Online
DOI: 10.18154/RWTH-2025-02289
URL: https://publications.rwth-aachen.de/record/1006158/files/1006158.pdf
URL: https://openreview.net/forum?id=lSah6an1Ar

Einrichtungen

  1. Lehrstuhl für Data Science im Maschinenbau (422610)
  2. Fachgruppe Informatik (120000)
  3. Graduiertenkolleg UnRAVeL (080060)


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Dokumenttyp
Contribution to a conference proceedings

Format
online

Sprache
English

Interne Identnummern
RWTH-2025-02289
Datensatz-ID: 1006158

Beteiligte Länder
Germany

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Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;  ;
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization
[10.48550/arXiv.2512.14350]  GO arXiv   Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

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 Record created 2025-03-10, last modified 2026-03-02
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