2022
DOI: 10.1007/978-981-16-8721-1_42
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Intelligent Parameter Tuning Using Deep Q-Network for RED Algorithm in Adaptive Queue Management Systems

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Cited by 2 publications
(2 citation statements)
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“…In our experiments, we opted for the DQN learning strategy, which is a widely-used approach in self-driving systems [6,54,59,61]. However, there are several other learning strategies that we could have considered to improve the performance of our approach.…”
Section: Limitationsmentioning
confidence: 99%
“…In our experiments, we opted for the DQN learning strategy, which is a widely-used approach in self-driving systems [6,54,59,61]. However, there are several other learning strategies that we could have considered to improve the performance of our approach.…”
Section: Limitationsmentioning
confidence: 99%
“…Suggestions for tuning and optimizing the key parameters of the algorithm are proposed in the following works [19][20][21][22][23][24][25][26][27][28][29][30]. The implementation of RED in the Next Generation Passive Optical Network (NG-PON) was presented in [31].…”
mentioning
confidence: 99%