Browsing by Author "Li, Xin"
Now showing items 1-5 of 5
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A fuzzy Markov game based flow controller for high-speed networks employing metropolis criterion
Li, Xin; Jing, Yuanwei; Zhang, Siying; Dimirovski, Georgi M. (IEEE, 2010-10)A Metropolis criterion based fuzzy Markov game flow controller (MFMC) is proposed to cope with congestion problems in high-speed networks. Because of uncertainties and highly time-varying time delays, for such networks the ... -
Metropolis criterion based Q-learning flow control for high-speed networks
Li, Xin; Jing, Yuanwei; Dimirovski, Georgi M.; Zhang, Siying (Elsevier, 2008-07)For the congestion problems in high-speed networks, a Metropolis criterion based Q-learning flow controller is proposed. Because of the uncertainties and highly time-varying, it is not easy to accurately obtain the complete ... -
Nash Q-learning multi-agent flow control for high-speed networks
Jing, Yuanwei; Li, Xin; Dimirovski, Georgi M.; Zheng, Yan; Zhang, Siying (IEEE, 2009-06)For the congestion problems in high-speed networks, a multi-agent flow controller (MFC) based on Q-learning algorithm conjunction with the theory of Nash equilibrium is proposed. Because of the uncertainties and highly ... -
A Q-learning model-independent flow controller for high-speed networks
Li, Xin; Dimirovski, Georgi M.; Jing, Yuanwei; Zhang, Siying (IEEE, 2009-06)For the congestion problems in high-speed networks, a Q-learning model-independent flow controller is proposed. Because of the uncertainties and highly time-varying, it is not easy to accurately obtain the complete information ... -
Simulated annealing Q-learning algorithm for ABR traffic control of ATM networks
Li, Xin; Zhou, Yucheng; Dimirovski, Georgi M.; Jing, Yuanwei (IEEE, 2008-06)One of the fundamental issues in asynchronous transfer mode (ATM) networks is the congestion problem of information flow. Due to the complexity and variability of ATM, it is difficult to accurately describe the characteristics ...
