15 citations · 33 across the 12 of their papers we have counts for
5 papers · 1 filter
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues
Mohamed Akrout, Amal Feriani, Faouzi Bellili +2
Data-driven machine learning (ML) is promoted as one potential technology to be used in next-generations wireless systems. This led to a large body of research work that applies ML…
On the Robustness of Deep Reinforcement Learning in IRS-Aided Wireless Communications Systems
Amal Feriani, Amine Mezghani, Ekram Hossain
We consider an Intelligent Reflecting Surface (IRS)-aided multiple-input single-output (MISO) system for downlink transmission. We compare the performance of Deep Reinforcement Lea…
Decentralized Multi-Agent Reinforcement Learning for Task Offloading Under Uncertainty
Yuanchao Xu, Amal Feriani, Ekram Hossain
Multi-Agent Reinforcement Learning (MARL) is a challenging subarea of Reinforcement Learning due to the non-stationarity of the environments and the large dimensionality of the com…
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani, Ekram Hossain
Deep Reinforcement Learning (DRL) has recently witnessed significant advances that have led to multiple successes in solving sequential decision-making problems in various domains,…
Hacking Google reCAPTCHA v3 using Reinforcement Learning
Ismail Akrout, Amal Feriani, Mohamed Akrout
We present a Reinforcement Learning (RL) methodology to bypass Google reCAPTCHA v3. We formulate the problem as a grid world where the agent learns how to move the mouse and click…