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Q-Learning is a popular reinforcement learning algorithm which has been widely used in stochastic control applications. The bottleneck of applying tabular form Q learning in reinforcement learning problems with large scale or high dimensional action sets is the considerable delays caused by action selection and value function updates. In this paper, we present a novel hardware architecture that significantly...
Input-queued cell switches employing the oldest-cell-first (OCF) policy have been shown to yield low mean delay characteristics. Moreover, it has been proven that OCF is stable for admissible i.i.d. arrival traffic when executed with a scheduling speedup of 2. However, an increase in link rates and port densities directly leads to a decrease in packet duration times, to a point where cell-by-cell...
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