Picture for Daniel E. Quevedo

Daniel E. Quevedo

Structure-Enhanced DRL for Optimal Transmission Scheduling

Add code
Dec 24, 2022
Viaarxiv icon

Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling

Add code
Nov 20, 2022
Viaarxiv icon

Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach

Add code
Oct 03, 2022
Figure 1 for Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach
Figure 2 for Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach
Figure 3 for Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach
Figure 4 for Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach
Viaarxiv icon

Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation

Add code
Jul 18, 2022
Figure 1 for Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation
Figure 2 for Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation
Figure 3 for Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation
Figure 4 for Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation
Viaarxiv icon

Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation

Add code
May 20, 2022
Figure 1 for Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation
Figure 2 for Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation
Figure 3 for Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation
Figure 4 for Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation
Viaarxiv icon

Remote State Estimation of Multiple Systems over Semi-Markov Wireless Fading Channels

Add code
Mar 31, 2022
Figure 1 for Remote State Estimation of Multiple Systems over Semi-Markov Wireless Fading Channels
Figure 2 for Remote State Estimation of Multiple Systems over Semi-Markov Wireless Fading Channels
Figure 3 for Remote State Estimation of Multiple Systems over Semi-Markov Wireless Fading Channels
Figure 4 for Remote State Estimation of Multiple Systems over Semi-Markov Wireless Fading Channels
Viaarxiv icon

Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control

Add code
Sep 26, 2021
Figure 1 for Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
Figure 2 for Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
Figure 3 for Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
Figure 4 for Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
Viaarxiv icon

Deep reinforcement learning for scheduling in large-scale networked control systems

Add code
May 15, 2019
Figure 1 for Deep reinforcement learning for scheduling in large-scale networked control systems
Figure 2 for Deep reinforcement learning for scheduling in large-scale networked control systems
Figure 3 for Deep reinforcement learning for scheduling in large-scale networked control systems
Figure 4 for Deep reinforcement learning for scheduling in large-scale networked control systems
Viaarxiv icon

DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling

Add code
Jun 13, 2018
Figure 1 for DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling
Figure 2 for DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling
Viaarxiv icon

Asynchronous stochastic approximations with asymptotically biased errors and deep multi-agent learning

Add code
Feb 22, 2018
Figure 1 for Asynchronous stochastic approximations with asymptotically biased errors and deep multi-agent learning
Figure 2 for Asynchronous stochastic approximations with asymptotically biased errors and deep multi-agent learning
Viaarxiv icon