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Federated Deep Reinforcement Learning for RIS-Assisted Indoor
  Multi-Robot Communication Systems

Federated Deep Reinforcement Learning for RIS-Assisted Indoor Multi-Robot Communication Systems

IEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2022
17 July 2022
Ruyu Luo
Wanli Ni
Hui Tian
Julian Cheng
    AI4CE
ArXiv (abs)PDFHTMLGithub

Papers citing "Federated Deep Reinforcement Learning for RIS-Assisted Indoor Multi-Robot Communication Systems"

1 / 1 papers shown
Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor
  Environments: A Convex Approximation Imitated Reinforcement Learning Approach
Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning ApproachIEEE Transactions on Mobile Computing (IEEE TMC), 2024
Y. Park
Sheikh Salman Hassan
Y. Tun
Eui-nam Huh
Walid Saad
Choong Seon Hong
159
5
0
19 Jun 2024
1
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