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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 complete and accurate information is not easy to obtain in real time The Q-learning, which is independent of mathematic model and prior knowledge and yet enables achieving good...
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