Please use this identifier to cite or link to this item: doi:10.22028/D291-47750
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Title: Motion Primitives as the Action Space of Deep Q-Learning for Planning in Autonomous Driving
Author(s): Schneider, Tristan
Pedrosa, Matheus V. A.
Gros, Timo P.
Wolf, Verena
Flaßkamp, Kathrin
Language: English
Title: IEEE Transactions on Intelligent Transportation Systems
Volume: 25
Issue: 11
Pages: 17852 - 17864
Publisher/Platform: IEEE
Year of Publication: 2024
Free key words: Motion primitives
reinforcement learning
autonomous driving
Markov decision process
optimal control
DDC notations: 004 Computer science, internet
Publikation type: Journal Article
DOI of the first publication: 10.1109/TITS.2024.3436530
Link to this record: urn:nbn:de:bsz:291--ds-477502
hdl:20.500.11880/41761
http://dx.doi.org/10.22028/D291-47750
ISSN: 1558-0016
1524-9050
Date of registration: 7-May-2026
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Verena Wolf
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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