Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)

Cramer, Emma Anna Elisabeth; Reiher, Jonas Laurenz; Trimpe, Johann Sebastian

doi:10.48550/arXiv.2312.00592

Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)

Cramer, Emma Anna Elisabeth (Corresponding author)^RWTH* ; Reiher, Jonas Laurenz (Corresponding author)^RWTH* ; Trimpe, Johann Sebastian (Corresponding author)^RWTH*

2023

Umfang19 Seiten

Online
DOI: 10.48550/arXiv.2312.00592
10.48550/arXiv.2312.00592
URL: https://publications.rwth-aachen.de/record/980791/files/980791.pdf

Einrichtungen

Projekte

BMBF 02P22A010 - Demonstrations- und Transfernetzwerk KI in der Produktion (ProKI-Netz); Standort: Aachen; Schwerpunkt: Trennen, Beschichten, Koordination (ProKI-Aachen) (02P22A010) (02P22A010)

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Dokumenttyp
Preprint

Format
online

Sprache
English

Externe Identnummern
arXiv: arXiv:2312.00592

Interne Identnummern
RWTH-2024-02549
Datensatz-ID: 980791

Beteiligte Länder
Germany

Related:

Contribution to a book/Contribution to a conference proceedings Cramer, E. A. E. (Corresponding author)RWTH* ; Reiher, J. L. (Corresponding author)RWTH* ; Trimpe, J. S. (Corresponding author)RWTH*
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection
20246th Annual Learning for Dynamics & Control Conference, 15-17 July 2024, University of Oxford, Oxford, UK / Editors: Alessandro Abate, Mark Cannon, Kostas Margellos, Antonis Papachristodoulou
6. Annual Learning for Dynamics & Control Conference, L4DC 2024, OxfordOxford, UK, 15 Jul 2024 - 17 Jul 20242024-07-152024-07-17 MLResearchPress, Proceedings of machine learning research 242, 104-116 (2024)2024 Files Homepage of book Fulltext BibTeX | EndNote: XML, Text | RIS