Structure-Enhanced DRL for Optimal Transmission Scheduling

24 December 2022

Papers citing "Structure-Enhanced DRL for Optimal Transmission Scheduling"

8 / 8 papers shown

Title
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling Jiazhen Chen Wanchun Liu Daniel E. Quevedo Yonghui Li Branka Vucetic OffRL 73 2 0 20 Nov 2022
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach Zihuai Zhao Wanchun Liu Daniel E. Quevedo Yonghui Li Branka Vucetic 51 18 0 03 Oct 2022
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control Gaoyang Pang Kang Huang Daniel E. Quevedo Branka Vucetic Yonghui Li Wanchun Liu 65 18 0 26 Sep 2021
Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning Approach Shaoyang Wang Tiejun Lv Wei Ni N. Beaulieu Y. Guo 32 46 0 29 Mar 2021
Directed Exploration for Reinforcement Learning Z. Guo Emma Brunskill 36 12 0 18 Jun 2019
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling Burak Demirel Arunselvan Ramaswamy Daniel E. Quevedo H. Karl 20 57 0 08 Mar 2018
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 294 13,214 0 09 Sep 2015
Convolutional Neural Networks at Constrained Time Cost Kaiming He Jian Sun 3DV 69 1,291 0 04 Dec 2014