Zi-han Liu

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A method for consolidating the traditionally separate actor and critic neural networks in temporal difference learning for addressing partially-observable Markov decision processes (POMDPs) is presented. Simulation results for solving a five-state POMDP problem support the claim that the consolidated model achieves higher performance while reducing(More)
With the fast development of Location Based Service (LBS) applications in recent years, the demands for accurate indoor localization techniques have attracted significant attention and risen rapidly. Among all the techniques, due to its stable performance without the need for additional hardware, the RSS-based fingerprinting localization is the most viable(More)
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