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pro vyhledávání: '"Sokolov, Yury"'
Reinforcement learning (RL) is a foundation of learning in biological systems and provides a framework to address numerous challenges with real-world artificial intelligence applications. Efficient implementations of RL techniques could allow for age
Externí odkaz:
http://arxiv.org/abs/2103.04780
Autor:
Sokolov, Yury, Ermentrout, G. Bard
Synchronization in systems of coupled Kuramoto oscillators may depend on their natural frequencies, coupling, and underlying networks. In this paper, we reduce the alternatives to only one by considering identical oscillators where the only parameter
Externí odkaz:
http://arxiv.org/abs/1812.08153
Akademický článek
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In this paper a random graph model $G_{\mathbb{Z}^2_N,p_d}$ is introduced, which is a combination of fixed torus grid edges in $(\mathbb{Z}/N \mathbb{Z})^2$ and some additional random ones. The random edges are called long, and the probability of hav
Externí odkaz:
http://arxiv.org/abs/1507.07997
Publikováno v:
Automatica 59 (2015) 9-18
This paper provides new stability results for Action-Dependent Heuristic Dynamic Programming (ADHDP), using a control algorithm that iteratively improves an internal model of the external world in the autonomous system based on its continuous interac
Externí odkaz:
http://arxiv.org/abs/1308.3282
Autor:
Sokolov, Yury, Ermentrout, G. Bard
Publikováno v:
In Physica A: Statistical Mechanics and its Applications 1 November 2019 533
Publikováno v:
In Discrete Applied Mathematics 15 April 2019 258:152-165
Publikováno v:
In Automatica September 2015 59:9-18
Publikováno v:
E3S Web of Conferences, Vol 97, p 06016 (2019)
Material fatigue damage accumulation is recognized as one of the least inspectable and controllable operational damage mechanisms of crane structures. The scope method measures electro-magnetic properties of steels being in service, to assess their r
Externí odkaz:
https://doaj.org/article/0cb4792a5c004f65bb949f4b890e7932