Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Kamran, Danial"'
Reinforcement learning (RL) has recently been used for solving challenging decision-making problems in the context of automated driving. However, one of the main drawbacks of the presented RL-based policies is the lack of safety guarantees, since the
Externí odkaz:
http://arxiv.org/abs/2107.07413
Despite recent advances in reinforcement learning (RL), its application in safety critical domains like autonomous vehicles is still challenging. Although punishing RL agents for risky situations can help to learn safe policies, it may also lead to h
Externí odkaz:
http://arxiv.org/abs/2107.07316
Reinforcement learning is nowadays a popular framework for solving different decision making problems in automated driving. However, there are still some remaining crucial challenges that need to be addressed for providing more reliable policies. In
Externí odkaz:
http://arxiv.org/abs/2004.04450
Autor:
Buchholz, Michael, Gies, Fabian, Danzer, Andreas, Henning, Matti, Hermann, Charlotte, Herzog, Manuel, Horn, Markus, Schön, Markus, Rexin, Nils, Dietmayer, Klaus, Fernandez, Carlos, Janosovits, Johannes, Kamran, Danial, Kinzig, Christian, Lauer, Martin, Molinos, Eduardo, Stiller, Christoph, Wang, Lingguang, Ackermann, Stefan, Homolla, Tobias, Winner, Hermann, Gottschalg, Grischa, Leinen, Stefan, Becker, Mathias, Feiler, Johannes, Hoffmann, Simon, Diermeyer, Frank, Lampe, Bastian, Beemelmanns, Till, van Kempen, Raphael, Woopen, Timo, Eckstein, Lutz, Voget, Nicolai, Moormann, Dieter, Jatzkowski, Inga, Stolte, Torben, Maurer, Markus, Graf, Jürgen, von Hinüber, Edgar, Siepenkötter, Norbert
The German research project UNICARagil is a collaboration between eight universities and six industrial partners funded by the Federal Ministry of Education and Research. It aims to develop innovative modular architectures and methods for new agile,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1655064da2195efec588a4d387f5371f
http://tuprints.ulb.tu-darmstadt.de/22044/
http://tuprints.ulb.tu-darmstadt.de/22044/
Publikováno v:
Adaptive Learning Agents Workshop at the 21st International Conference on Autonomous Agents and Multiagent Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::db4d8af40767b73018112ca4e594b5cf
http://resolver.tudelft.nl/uuid:ef84ea9b-67aa-4b96-9c13-1bb3d04836da
http://resolver.tudelft.nl/uuid:ef84ea9b-67aa-4b96-9c13-1bb3d04836da
Autor:
Buchholz, Michael, Gies, Fabian, Danzer, Andreas, Henning, Matti, Hermann, Charlotte, Herzog, Manuel, Horn, Markus, Sch��n, Markus, Rexin, Nils, Dietmayer, Klaus, Fernandez, Carlos, Janosovits, Johannes, Kamran, Danial, Kinzig, Christian, Lauer, Martin, Molinos, Eduardo, Stiller, Christoph, Ackermann, Stefan, Homolla, Tobias, Winner, Hermann, Gottschalg, Grischa, Leinen, Stefan, Becker, Matthias, Feiler, Johannes, Hoffmann, Simon, Diermeyer, Frank, Lampe, Bastian, Beemelmanns, Till, Van Kempen, Raphael, Woopen, Timo, Eckstein, Lutz, Voget, Nicolai, Moormann, Dieter, Jatzkowski, Inga, Stolte, Torben, Maurer, Markus, Graf, J��rgen, Hin��ber, Edgar Leuer Von, Siepenk��tter, Norbert
The German research project UNICARagil is a collaboration between eight universities and six industrial partners funded by the Federal Ministry of Education and Research. It aims to develop innovative modular architectures and methods for new agile,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68bbac89d9f4e41d759e1a1d462d7221
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
2015 CSI Symposium on Real-Time & Embedded Systems & Technologies (RTEST); 2015, p1-6, 6p