Zobrazeno 1 - 10
of 585
pro vyhledávání: '"SARSA"'
Publikováno v:
Data Technologies and Applications, 2022, Vol. 57, Issue 4, pp. 465-488.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-01-2022-0001
Publikováno v:
Cybernetics and Information Technologies, Vol 23, Iss 1, Pp 38-58 (2023)
Fog computing is one of the emerging forms of cloud computing which aims to satisfy the ever-increasing computation demands of the mobile applications. Effective offloading of tasks leads to increased efficiency of the fog network, but at the same ti
Externí odkaz:
https://doaj.org/article/714a8f535b1d4f0a8ed503e14d418cb1
Autor:
Sayed Aresh Beheshti-Shirazi, Najmeh Nazari, Kevin Immanuel Gubbi, Banafsheh Saber Latibari, Setareh Rafatirad, Houman Homayoun, Avesta Sasan, P. D. Sai Manoj
Publikováno v:
IEEE Access, Vol 11, Pp 87869-87886 (2023)
This paper discloses a Reinforcement Learning (RL) solution implemented to decrease the peak current by alteration of the clock skews. Clock skews are elements of the clock network calculated throughout the Clock Tree Synthesis (CTS) phase of physica
Externí odkaz:
https://doaj.org/article/3d5a986d3df242e0887f8d9c462fbfea
Autor:
Tawfiq M. Aljohani, Osama Mohammed
Publikováno v:
Vehicles, Vol 4, Iss 4, Pp 1176-1194 (2022)
A real-time, metadata-driven electric vehicle routing optimization to reduce on-road energy requirements is proposed in this work. The proposed strategy employs the state–action–reward–state–action (SARSA) algorithm to learn the EV’s maximu
Externí odkaz:
https://doaj.org/article/bdc04c65801a4d2fbb8083b7296fe034
Autor:
Jun SUN, Shangweikang ZHAO
Publikováno v:
物联网学报, Vol 6, Pp 82-90 (2022)
In order to reduce the total energy consumption of industrial internet of things systems with deadline requirements, a computing offloading scheme based on Sarsa algorithm was proposed.Based on the characteristics of Sarsa algorithm, the energy consu
Externí odkaz:
https://doaj.org/article/b7c0de4c05d3471187551336496aeee2
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 7, Pp n/a-n/a (2023)
A memristor‐based reinforcement learning (RL) system has shown outstanding performance in achieving efficient autonomous decision‐making and edge computing. Sarsa (λ) is a classical multistep RL algorithm that records state with λ decay and gui
Externí odkaz:
https://doaj.org/article/906f386bd8814c9680985d5200fc6745
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 1, p 21 (2024)
In order to more accurately analyze the problem of time delay simulation and calculation in the time-sensitive network (TSN) of vehicular Ethernet, a TSN reservation class data delay analysis model improved based on the State–Action–Reward–Stat
Externí odkaz:
https://doaj.org/article/738deb95e1e44bed9a4c64c810fb9d9f
Akademický článek
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Publikováno v:
Sensors, Vol 23, Iss 21, p 9013 (2023)
Unmanned aerial vehicles (UAV) can be controlled in diverse ways. One of the most common is through artificial intelligence (AI), which comprises different methods, such as reinforcement learning (RL). The article aims to provide a comparison of thre
Externí odkaz:
https://doaj.org/article/a1bf57e3f32348b68b48277bca415c42
Publikováno v:
IEEE Access, Vol 10, Pp 81177-81191 (2022)
Recent studies have shown the potential of Reinforcement Learning (RL) algorithms in tuning the parameters of Model Predictive Controllers (MPC), including the weights of the cost function and unknown parameters of the MPC model. However, a framework
Externí odkaz:
https://doaj.org/article/80328c61febd45e0a03c6025a35763c6