Zobrazeno 1 - 4
of 4
pro vyhledávání: '"András Kalapos"'
Autor:
András Kalapos, Liliána Szabó, Zsófia Dohy, Máté Kiss, Béla Merkely, Bálint Gyires-Tóth, Hajnalka Vágó
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
IntroductionStructural and functional heart abnormalities can be examined non-invasively with cardiac magnetic resonance imaging (CMR). Thanks to the development of MR devices, diagnostic scans can capture more and more relevant information about pos
Externí odkaz:
https://doaj.org/article/1e85203c93ac4279bef951a2275b3bf0
Autor:
András Kalapos, Bálint Gyires-Tóth
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250811
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb1f934a689cf6d20c526cc6ab7e5baf
https://doi.org/10.1007/978-3-031-25082-8_31
https://doi.org/10.1007/978-3-031-25082-8_31
In this work, we study vision-based end-to-end reinforcement learning on vehicle control problems, such as lane following and collision avoidance. Our controller policy is able to control a small-scale robot to follow the right-hand lane of a real tw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::550a1d2a1e82d6b564d63dd15946c202
Publikováno v:
ACTA IMEKO. 10:7
The present study focused on vision-based end-to-end reinforcement learning in relation to vehicle control problems such as lane following and collision avoidance. The controller policy presented in this paper is able to control a small-scale robot t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0501967dd848bb76137fb301a40beede
https://doi.org/10.21014/acta_imeko.v10i3.1020
https://doi.org/10.21014/acta_imeko.v10i3.1020