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DDPG-Driven Deep-Unfolding with Adaptive Depth for Channel Estimation
  with Sparse Bayesian Learning
v1v2v3 (latest)

DDPG-Driven Deep-Unfolding with Adaptive Depth for Channel Estimation with Sparse Bayesian Learning

IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
20 January 2022
Qiyu Hu
Shuhan Shi
Yunlong Cai
Guanding Yu
    BDL
ArXiv (abs)PDFHTMLGithub

Papers citing "DDPG-Driven Deep-Unfolding with Adaptive Depth for Channel Estimation with Sparse Bayesian Learning"

2 / 2 papers shown
Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning
Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning
Sergio Rozada
Hoi-To Wai
Antonio G. Marques
OffRL
272
2
0
10 Jan 2025
Deep-Unfolding for Next-Generation Transceivers
Deep-Unfolding for Next-Generation Transceivers
Qiyu Hu
Yunlong Cai
Guangyi Zhang
Guanding Yu
Geoffrey Ye Li
163
5
0
15 May 2023
1
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