Zobrazeno 1 - 10
of 1 456
pro vyhledávání: '"proximal policy optimization"'
Publikováno v:
水下无人系统学报, Vol 32, Iss 4, Pp 668-677 (2024)
Cross-domain Ad Hoc network is a network that self-organizes nodes on different media and adapts to network topology. In cross-domain communication networks, direct measurement technology helps obtain accurate end-to-end network traffic information.
Externí odkaz:
https://doaj.org/article/75a344d2643245518c12346122399166
Publikováno v:
Tongxin xuebao, Vol 45, Pp 249-257 (2024)
The existing intelligent anti-jamming methods based on deep reinforcement learning are applied to space-ground TT&C and communication links, in which the deep neural network used for decision-making has a complex structure, and the resources of satel
Externí odkaz:
https://doaj.org/article/e491008c80b244abad51428f7421109b
Publikováno v:
Alexandria Engineering Journal, Vol 100, Iss , Pp 268-276 (2024)
UAV swarms have increasingly replaced human labor in various industries. However, controlling a large group of UAVs can be difficult and, if not done correctly, cause significant financial losses and delays. While many methods aim to improve how the
Externí odkaz:
https://doaj.org/article/8bcbfe15e0c14b028efc7670e208a7c4
Publikováno v:
工程科学学报, Vol 46, Iss 7, Pp 1179-1186 (2024)
With the rapid development of intelligent and informationized air battlefields, intelligent air combat has increasingly become key to affecting the outcome of a battlefield. In conventional multi-aircraft air combat, there are issues of low efficienc
Externí odkaz:
https://doaj.org/article/01ebf80118b642c8b986c5a6e50f9e95
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 4, Pp 677-685 (2024)
Purposes The economic dispatch of Integrated Energy Systems (IES) is a key research topic of energy technology reform, inherently a complex Mixed-Integer Nonlinear Programming problem. Traditional optimization methods have high computational complexi
Externí odkaz:
https://doaj.org/article/f71b0354ded94892a38a8a8c2911df5b
Publikováno v:
Engineering Access, Vol 10, Iss 2, Pp 154-165 (2024)
Ensemble Learning is gaining traction in Reinforcement Learning (RL) due to its ability to improve performance, robustness, and capabilities of RL models. This paper addresses the challenge of production planning with fluctuating demand by proposing
Externí odkaz:
https://doaj.org/article/11bc884d136a40cab4cdda44f3262390
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37823- (2024)
This article proposes a proximal policy optimization (PPO)-based reinforcement learning (RL) approach for DC-DC boost converter control that is compared with traditional control methods. The performance of the PPO algorithm is evaluated using MATLAB
Externí odkaz:
https://doaj.org/article/b581854b7f3f44edabe08193900a6963
Publikováno v:
Tongxin xuebao, Vol 45, Pp 101-114 (2024)
In high-throughput multi-beam satellite systems, the dimensionality of the spectrum resource allocation problem increased drastically with the number of satellite beams and service users, which caused an exponential rise in the complexity of the solu
Externí odkaz:
https://doaj.org/article/2ff0de8decd448329151ca59d6a612a0
Publikováno v:
AIMS Energy, Vol 12, Iss 3, Pp 639-663 (2024)
Considering the problem of time scale differences among subsystems in the integrated energy system of a park, as well as the increasing complexity of the system structure and number of control variables, there may be a deep reinforcement learning (DR
Externí odkaz:
https://doaj.org/article/0ec45c03f83f457abdc91a10685270d7
Publikováno v:
Array, Vol 24, Iss , Pp 100365- (2024)
Modern cybersecurity best practices and standards require continuous Vulnerability Assessment (VA) and Penetration Test (PT). These activities are human- and time-expensive. The research community is trying to propose autonomous or semi-autonomous so
Externí odkaz:
https://doaj.org/article/eb1f9eae75b2488c91ce56d34e40bee4