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Daniel E. Quevedo — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Daniel E. Quevedo
7
papers ·
24
citations
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Semantic Scholar ↗
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Most-cited papers
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
2021 · 15 citations
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach
2023 · 5 citations
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach
2022 · 3 citations
Deep reinforcement learning for scheduling in large-scale networked control systems
2019 · 1 citations
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling
2018
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling
2022
Structure-Enhanced DRL for Optimal Transmission Scheduling
2022
Top co-authors
Branka Vucetic
· 4
Wanchun Liu
· 4
Yonghui Li
· 4
Jiazheng Chen
· 3
Arunselvan Ramaswamy
· 2
Adrian Redder
· 1
and Branka Vucetic
· 1
Burak Demirel
· 1
Gaoyang Pang
· 1
Holger Karl
· 1
Kang Huang
· 1
Saeed R. Khosravirad
· 1
Topics
Value-Based
Model-Based RL
Policy Gradient
Multi-Agent
Safe RL