2 papers
cs.LG2025
Towards Assessing Deep Learning Test Input Generators
Seif Mzoughi, Ahmed Haj yahmed, Mohamed Elshafei +2
Deep Learning (DL) systems are increasingly deployed in safety-critical applications, yet they remain vulnerable to robustness issues that can lead to significant failures. While n…
cs.SE2024
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer
Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil +4
Deep reinforcement learning (DRL) has shown success in diverse domains such as robotics, computer games, and recommendation systems. However, like any other software system, DRL-ba…