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H. Vincent Poor — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
H. Vincent Poor
73
papers ·
1176
citations ·
183
h-index
Shanghai University · Princeton University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning
2020 · 28 citations
Two-dimensional Anti-jamming Mobile Communication Based on Reinforcement Learning
2017 · 8 citations
Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks
2020 · 7 citations
MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning
2021 · 6 citations
Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks
2021 · 6 citations
Deep Reinforcement Learning for IRS Phase Shift Design in Spatiotemporally Correlated Environments
2022 · 3 citations
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
2024 · 3 citations
A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks
2020 · 2 citations
Robust Data Detection for MIMO Systems with One-Bit ADCs: A Reinforcement Learning Approach
2019 · 1 citations
Experienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication
2019 · 1 citations
Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks
2020 · 1 citations
Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches
2019
Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems
2021
RIS-assisted UAV Communications for IoT with Wireless Power Transfer Using Deep Reinforcement Learning
2021
Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach
2022
Top co-authors
Mingzhe Chen
· 6
Walid Saad
· 6
Shuguang Cui
· 4
and Shuguang Cui
· 2
Changchuan Yin
· 2
Sihua Wang
· 2
Tao Luo
· 2
Ye Hu
· 2
Yining Wang
· 2
Zhaohui Yang
· 2
Ali Taleb Zadeh Kasgari
· 1
and Tony Q. S. Quek
· 1
Topics
Value-Based
Model-Based RL
Policy Gradient
Exploration
Multi-Agent
Meta-RL
Safe RL
Game AI
cs.NI
eess.SP