Dániel Horváth
Dániel Horváth received the M.Sc. degree (Hons.) in mechatronics from Budapest University of Technology and Economics, Budapest, Hungary, in 2019. As part of the master’s studies, he spent one semester each with the Technical University of Denmark, Copenhagen, and Otto von Guericke University, Magdeburg, Germany, in 2018.
He is pursuing his Ph.D. at the Institute for Computer Science and Control, Budapest Hungary in computer science in collaboration with the Eötvös Loránd University, Budapest, Hungary, and, as a Campus France scholar, with MINES Paris-PSL, in Paris, France under the supervision of Gábor Erdős, Zoltán Istenes, and Fabien Moutarde.
His main research interests include deep learning, reinforcement learning, curriculum learning, transfer learning, computer vision, and robotics.