Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kamar, Doğay"'
Publikováno v:
International Conference on Agents and Artificial Intelligence - ICAART, Volume 2, 264-272 (2022)
In this study, we address the problem of efficient exploration in reinforcement learning. Most common exploration approaches depend on random action selection, however these approaches do not work well in environments with sparse or no rewards. We pr
Externí odkaz:
http://arxiv.org/abs/2206.14256
Autor:
Aktı, Şeymanur, Kamar, Doğay, Özlü, Özgür Anıl, Soydemir, Ihsan, Akcan, Muhammet, Kul, Abdullah, Rekik, Islem
Predicting the evolution of the brain network, also called connectome, by foreseeing changes in the connectivity weights linking pairs of anatomical regions makes it possible to spot connectivity-related neurological disorders in earlier stages and d
Externí odkaz:
http://arxiv.org/abs/2109.07739
Akademický článek
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Autor:
Aktı, Şeymanur1 (AUTHOR) akti15@itu.edu.tr, Kamar, Doğay1 (AUTHOR) kamard@itu.edu.tr, Özlü, Özgür Anıl1 (AUTHOR), Soydemir, Ihsan1 (AUTHOR), Akcan, Muhammet1 (AUTHOR), Kul, Abdullah1 (AUTHOR), Rekik, Islem1,2,3 (AUTHOR) irekik@itu.edu.tr
Publikováno v:
Journal of Neuroscience Methods. Feb2022, Vol. 368, pN.PAG-N.PAG. 1p.