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Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control

Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control

26 September 2021
Gaoyang Pang
Kang Huang
Daniel E. Quevedo
Branka Vucetic
Yonghui Li
Wanchun Liu
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Papers citing "Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control"

4 / 4 papers shown
Title
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep
  Reinforcement Learning Approach
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach
Jiazhen Chen
Wanchun Liu
Daniel E. Quevedo
Yonghui Li
Branka Vucetic
18
2
0
23 May 2023
Structure-Enhanced DRL for Optimal Transmission Scheduling
Structure-Enhanced DRL for Optimal Transmission Scheduling
Jiazhen Chen
Wanchun Liu
Daniel E. Quevedo
Saeed R. Khosravirad
Yonghui Li
Branka Vucetic
OffRL
26
10
0
24 Dec 2022
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission
  Scheduling
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling
Jiazhen Chen
Wanchun Liu
Daniel E. Quevedo
Yonghui Li
Branka Vucetic
OffRL
19
2
0
20 Nov 2022
Deep Learning for Wireless Networked Systems: a joint
  Estimation-Control-Scheduling Approach
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach
Zihuai Zhao
Wanchun Liu
Daniel E. Quevedo
Yonghui Li
Branka Vucetic
26
18
0
03 Oct 2022
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