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Reinforcement Learning-powered Semantic Communication via Semantic Similarity

We introduce a new semantic communication mechanism - SemanticRL, whose key idea is to preserve the semantic information instead of strictly securing the bit-level precision.

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Cite this as

Kun Lu, Rongpeng Li, Xianfu Chen, Zhifeng Zhao, Honggang Zhang (2024). Dataset: Reinforcement Learning-powered Semantic Communication via Semantic Similarity. https://doi.org/10.57702/2dfu9av4

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Additional Info

Field	Value
Created	December 17, 2024
Last update	December 17, 2024
Defined In	https://doi.org/10.48550/arXiv.2108.12121
Author	Kun Lu
More Authors	Rongpeng Li Xianfu Chen Zhifeng Zhao Honggang Zhang