Maximizing Information Usefulness in Vehicular CP Networks Using Actor-Critic Reinforcement Learning. - Imed Ghnaya; Toufik Ahmed; Mohamed Mosbah 001; Hasnaâ Aniss (CNSM, 2022)

Multi-Agent Advantage Actor-Critic Learning For Message Content Selection in Cooperative Perception Networks. - Imed Ghnaya; Mohamed Mosbah 001; Hasnaâ Aniss; Toufik Ahmed (NOMS, 2023)

A Distributed Double Deep Q-Learning Method for Object Redundancy Mitigation in Vehicular Networks. - Imed Ghnaya; Hasnaâ Aniss; Toufik Ahmed; Mohamed Mosbah 001 (WCNC, 2023)

Augmented Perception Resiliency of C-ITS based Connected and Autonomous Vehicles. (Résilience de la perception collective et augmentée des véhicules autonomes connectés par les C-ITS). - Imed Ghnaya (2024)