Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Danik, Yulia"'
Autor:
Chaikovskaya, Ekaterina, Minashina, Inna, Litvinenko, Vladimir, Davydenko, Egor, Makarov, Dmitry, Danik, Yulia, Gorbachev, Roman
When a gait of a bipedal robot is developed using deep reinforcement learning, reference trajectories may or may not be used. Each approach has its advantages and disadvantages, and the choice of method is up to the control developer. This paper inve
Externí odkaz:
http://arxiv.org/abs/2312.09757
Autor:
Danik, Yulia, Dmitriev, Mikhail
Publikováno v:
In Procedia Computer Science 2021 186:154-160
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Danik, Yulia
Publikováno v:
AIP Conference Proceedings; 2016, Vol. 1759 Issue 1, p1-7, 7p, 2 Graphs
Autor:
Osipov, Gennady S., Dmitriev, Mikhail G., Smirnov, Ivan V., Danik, Yulia E., Ananyeva, Margarita I.
Publikováno v:
Proceedings of the International Multidisciplinary Scientific GeoConference SGEM; 2016, Vol. 1, p461-467, 7p
Autor:
Michael Khachay, Yury Kochetov, Anton Eremeev, Oleg Khamisov, Vladimir Mazalov, Panos Pardalos
This book constitutes refereed proceedings of the 22nd International Conference on Mathematical Optimization Theory and Operations Research: Recent Trends, MOTOR 2023, held in Ekaterinburg, Russia, during July 2–8, 2023. The 28 full papers and o
The IJBF is the only regularly published, truly international, Festschrift bibliography. Since 1983, more than 900,000 articles from more than 40,000 Festschriften, published between 1977 and 2021, have been catalogued.