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pro vyhledávání: '"Yazicioğlu A"'
Autor:
Grenier, Carlos
Publikováno v:
Journal of the Ottoman and Turkish Studies Association, 2019 Oct 01. 6(2), 131-154.
Externí odkaz:
https://www.jstor.org/stable/10.2979/jottturstuass.6.2.10
Akademický článek
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Constrained Reinforcement Learning (CRL) is a subset of machine learning that introduces constraints into the traditional reinforcement learning (RL) framework. Unlike conventional RL which aims solely to maximize cumulative rewards, CRL incorporates
Externí odkaz:
http://arxiv.org/abs/2410.08022
Autor:
AKAR, Fatma1 fatmaakar.sdu@gmail.com, SAVUT, Emre1 esavut@mehmetakif.edu.tr
Publikováno v:
Visionary E-Journal / Vizyoner Dergisi. 2020, Vol. 11 Issue 28, p829-854. 26p.
Autor:
SARIKAYA, Erdem1 dr.erdemsarikaya@gmail.com
Publikováno v:
Ekev Academic Review / Ekev Akademi Dergisi. kis2019, Vol. 23 Issue 77, p77-90. 14p.
Autor:
Gegin Savaş, Özdemir Burcu, Özdemir Levent, Aksu Esra Arslan, Pazarli Ahmet Cemal, Yazicioğlu Bahadir
Publikováno v:
Polish Journal of Microbiology, Vol 73, Iss 3, Pp 377-382 (2024)
The study aimed to explore the protective effect of mask use against respiratory tract viral agents during the pandemic. The study included patients with a COVID-19 negative test who were hospitalized in the pulmonary disease clinic with the diagnose
Externí odkaz:
https://doaj.org/article/3bc5f2de3c6a4e739277e28d5b62fd47
We propose an automata-theoretic approach for reinforcement learning (RL) under complex spatio-temporal constraints with time windows. The problem is formulated using a Markov decision process under a bounded temporal logic constraint. Different from
Externí odkaz:
http://arxiv.org/abs/2307.15910
Autor:
MAMUR IŞIKÇI, Yasemin1 yasemin.mamur@giresun.edu.tr
Publikováno v:
Gümüshane University Electronic Journal of the Institute of Social Science / Gümüshane Üniversitesi Sosyal Bilimler Enstitüsü Elektronik Dergisi. 2017, Vol. 8 Issue 20, p79-96. 18p.