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Published in 2021 at "Sensor Review"
DOI: 10.1108/sr-09-2020-0221
Abstract: As the limited energy of wireless sensor networks (WSNs), energy-efficient data-gathering algorithms are required. This paper proposes a compressive data-gathering algorithm based on double sparse structure dictionary learning (DSSDL). The purpose of this paper is…
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Keywords:
data gathering;
sparse structure;
compressive data;
sparse representation ... See more keywords
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Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2022.3157892
Abstract: Deep reinforcement learning (DRL), which highly depends on the data representation, has shown its potential in many practical decision-making problems. However, the process of acquiring representations in DRL is easily affected by interference from models,…
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Keywords:
double sparse;
reinforcement learning;
multilayer sparse;
sparse coding ... See more keywords