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of 590
pro vyhledávání: '"Smirnova, Elena A"'
Autor:
Smirnova Elena E.
Publikováno v:
Художественная культура, Iss 2, Pp 164-185 (2024)
The purpose of this study is to discover the elements of fantasy in Martine Franck’s documentary photographs, as well as to analyse the completeness, intentionality, and persuasiveness of the created images of illusory existence. The object of the
Externí odkaz:
https://doaj.org/article/d93593de939f4fce903f0905f3dbcc61
Autor:
Iarskaia-Smirnova, Elena1 (AUTHOR) eiarskaia@hse.ru, Chiarvesio, Francesca2 (AUTHOR)
Publikováno v:
Problems of Post-Communism. Sep2024, p1-12. 12p.
Autor:
Smirnova, Elena O., Lantsova, Natalia V., Hamberg, Mats, Toporkova, Yana Y., Grechkin, Alexander N.
Publikováno v:
In BBA - Molecular and Cell Biology of Lipids August 2024 1869(6)
Autor:
Wang, Wenzhu, Zhao, Jingyu, Li, Zihan, Kang, Xiaoyu, Li, Ting, Isaev, Nickolay K., Smirnova, Elena A., Shen, Hui, Liu, Lixu, Yu, Yan
Publikováno v:
In Biomedicine & Pharmacotherapy June 2024 175
Publikováno v:
In The Asian Journal of Shipping and Logistics March 2024 40(1):52-60
Publikováno v:
In Children and Youth Services Review March 2024 158
Akademický článek
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Autor:
Smirnova, Elena1 (AUTHOR) smirnovaelen5@rambler.ru, Okhrimenko, Igor2 (AUTHOR), Zakharova, Aleksandra3 (AUTHOR)
Publikováno v:
Public Organization Review. Mar2024, Vol. 24 Issue 1, p299-314. 16p.
Autor:
Smirnova, Elena, Dohmatob, Elvis
Entropy regularized algorithms such as Soft Q-learning and Soft Actor-Critic, recently showed state-of-the-art performance on a number of challenging reinforcement learning (RL) tasks. The regularized formulation modifies the standard RL objective an
Externí odkaz:
http://arxiv.org/abs/1909.09621
This manuscript introduces the idea of using Distributionally Robust Optimization (DRO) for the Counterfactual Risk Minimization (CRM) problem. Tapping into a rich existing literature, we show that DRO is a principled tool for counterfactual decision
Externí odkaz:
http://arxiv.org/abs/1906.06211