Abstract:In this paper, we consider the problem of minimizing the transmission completion time in energy harvesting devices on time-varying channels with a reinforcement learning approach. Because of the randomness of energy arrival and fading channel in wireless communications, a reinforcement learning algorithm often converges to suboptimal points with a degraded performance. To solve this problem, we first prove that the expected discounted reward sum in the environment is an increasing function of negative time, am… Show more
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