Zobrazeno 1 - 10
of 2 607
pro vyhledávání: '"Tkachuk, P. P."'
We consider offline reinforcement learning (RL) in $H$-horizon Markov decision processes (MDPs) under the linear $q^\pi$-realizability assumption, where the action-value function of every policy is linear with respect to a given $d$-dimensional featu
Externí odkaz:
http://arxiv.org/abs/2405.16809
Autor:
Kirschner, Johannes, Bakhtiari, Seyed Alireza, Chandak, Kushagra, Tkachuk, Volodymyr, Szepesvári, Csaba
A long line of works characterizes the sample complexity of regret minimization in sequential decision-making by min-max programs. In the corresponding saddle-point game, the min-player optimizes the sampling distribution against an adversarial max-p
Externí odkaz:
http://arxiv.org/abs/2403.10379
Autor:
Kuzmak, A. R., Tkachuk, V. M.
We propose a protocol for studying the purely imaginary Fisher zeros of the Ising model on a quantum computer. Our protocol is based on the direct relation between the partition function for purely imaginary temperature and the evolution operator of
Externí odkaz:
http://arxiv.org/abs/2311.14453
Publikováno v:
Financial Internet Quarterly, Vol 20, Iss 2, Pp 15-25 (2024)
The main purpose of the article is to identify key factors of adaptive potential that can have a significant impact on counteracting crisis situations and increasing the level of financial security and business resilience of enterprises. The object o
Externí odkaz:
https://doaj.org/article/7dd68959c5c247e988fe1fa0d789e96a
Autor:
Anatoly Hordieiev, Galyna Kalda, Mykhaylo Pashechko, Andriy Hanzyuk, Vitaliy Tkachuk, Nazar Kostiuk
Publikováno v:
Advances in Sciences and Technology, Vol 18, Iss 3, Pp 234-245 (2024)
The paper presents the results of research into the influence of low-frequency sound and magnetic fields on the change in the properties of water and its purification in a vibrating machine with an eccentric drive, which allows obtaining a constant a
Externí odkaz:
https://doaj.org/article/f2f34d917d704df09ad53dfb5f1e47a0
Autor:
Ruslan Tkachuk
Publikováno v:
Вісник Київського національного університету імені Тараса Шевченка. Літературознавство. Мовознавство. Фольклористика, Iss 1(35), Pp 82-87 (2024)
Вступ. Проаналізовано присвяту та передмову до читача твору маловідомого в Україні полеміста-богослова XVII ст. Теодора Скуминовича "Przyczyn
Externí odkaz:
https://doaj.org/article/47c74b9d87524f78b20ddf20be552e2e
Autor:
Ekaterina Pecksen, Sergey Tkachuk, Cristoph Schröder, Marc Vives Enrich, Anindita Neog, Cory P. Johnson, Niko Lachmann, Hermann Haller, Yulia Kiyan
Publikováno v:
Stem Cell Research & Therapy, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Background Induced pluripotent stem cells (iPSCs)-derived kidney organoids are a promising model for studying disease mechanisms and renal development. Despite several protocols having been developed, further improvements are needed to overc
Externí odkaz:
https://doaj.org/article/d81490d55a0448079acfb38892bbbb75
Publikováno v:
Journal of Ecological Engineering, Vol 25, Iss 5, Pp 279-293 (2024)
The scientific article is devoted to the greening of technologies and its individual aspects, which is an important agricultural measure that can curb further decline in soil fertility, stabilize production systems, and reduce dependence on technolog
Externí odkaz:
https://doaj.org/article/ae144f0b4f4d48c4a6ed027713b846bd
Publikováno v:
Journal of Theoretical, Computational and Applied Mechanics (September 28, 2023) jtcam:11056
Large statically indeterminate truss and frame structures exhibit complex load-bearing behavior, and redundancy matrices are helpful for their analysis and design. Depending on the task, the full redundancy matrix or only its diagonal entries are req
Externí odkaz:
http://arxiv.org/abs/2303.03945
Autor:
Tkachuk, Volodymyr, Bakhtiari, Seyed Alireza, Kirschner, Johannes, Jusup, Matej, Bogunovic, Ilija, Szepesvári, Csaba
A practical challenge in reinforcement learning are combinatorial action spaces that make planning computationally demanding. For example, in cooperative multi-agent reinforcement learning, a potentially large number of agents jointly optimize a glob
Externí odkaz:
http://arxiv.org/abs/2302.04376