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08/25/2023
Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach
We propose a variational inference (VI)-based channel state information ...
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06/23/2023
CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation
Deep learning has been extensively used in wireless communication proble...
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03/23/2023
Mixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Networks
Digital twins have shown a great potential in supporting the development...
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03/13/2023
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues
Data-driven machine learning (ML) is promoted as one potential technolog...
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11/19/2022
Continual Learning-Based MIMO Channel Estimation: A Benchmarking Study
With the proliferation of deep learning techniques for wireless communic...
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08/04/2022
A 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic Cultural Manifestations in Tunisia, and the Impact of Digital Tools
The evolution of behavior of dermatology patients has seen significantly...
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03/26/2022
Dynamic Noises of Multi-Agent Environments Can Improve Generalization: Agent-based Models meets Reinforcement Learning
We study the benefits of reinforcement learning (RL) environments based ...
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07/17/2021
On the Robustness of Deep Reinforcement Learning in IRS-Aided Wireless Communications Systems
We consider an Intelligent Reflecting Surface (IRS)-aided multiple-input...
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07/16/2021
Decentralized Multi-Agent Reinforcement Learning for Task Offloading Under Uncertainty
Multi-Agent Reinforcement Learning (MARL) is a challenging subarea of Re...
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11/06/2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Deep Reinforcement Learning (DRL) has recently witnessed significant adv...
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03/03/2019
Hacking Google reCAPTCHA v3 using Reinforcement Learning
We present a Reinforcement Learning (RL) methodology to bypass Google re...
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02/05/2019