Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Karam Daaboul"'
Autor:
Karl Kutzer, Karam Daaboul, Philip Schorner, Hauke Thomsen, J. Marius Zollner, Alexander Albers
Publikováno v:
IV
Data driven approaches for decision making applied to automated driving require appropriate generalization strategies, to ensure applicability to the world's variability. Current approaches either do not generalize well beyond the training data or ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4acb8e6c4fdd85fcf2c017dba9c85f6a
http://arxiv.org/abs/2102.06765
http://arxiv.org/abs/2102.06765
The applicability of reinforcement learning (RL) algorithms in real-world domains often requires adherence to safety constraints, a need difficult to address given the asymptotic nature of the classic RL optimization objective. In contrast to the tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e90101cdcb9f0bcd9234380f24e46898
Autor:
Ingmar Baumgart, Nico Susmann, Jens Doll, Marc Rene Zofka, Ralf Kohlhaas, Michael Weber, Philip Schorner, Florian Kuhnt, J. Marius Zollner, Marek Wehmer, Raoul Zollner, Christian Hubschneider, Tobias Fleck, Karam Daaboul, Stefan Orf
Publikováno v:
Intelligent Autonomous Systems 15 ISBN: 9783030013691
IAS
IAS
This paper presents the concept, realization and evaluation of a flexible and scalable setup for smart infrastructure at the example of the Test Area Autonomous Driving Baden-Wurttemberg.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17e3acaa1d2095ee46afdc3ebd639db5
https://doi.org/10.1007/978-3-030-01370-7_75
https://doi.org/10.1007/978-3-030-01370-7_75