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ACT-GAN: Radio map construction based on generative adversarial networks with ACT blocks
The results indicate that the proposed model is robust radio map construction and accurate in predicting the location of the emission source.
Deep Reinforcement Learning with Discrete Normalized Advantage Functions for Resource Management in Network Slicing
Furthermore, as DPGD only works in continuous action space, we embed a k-nearest neighbor algorithm into DQL to quickly find a valid action in the discrete space nearest to the DPGD output.
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