activity
20222026
most citedExplainability in Deep Reinforcement Learning, a Review into Current Methods and Applications

3 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

An Interpretable Linguistically-Grounded Analysis of Scene Saliency in Movie Screenplays

Uday Bindal, Ishaan Karan, Manan Garg +3

We investigate the factors affecting salience in movie screenplay by posing two research questions: 1. {\em Does Uniform Information Density (UID) predict salient scenes?} 2. {\em…

cs.CV2026

Lightweight Spatiotemporal Highway Lane Detection via 3D-ResNet and PINet with ROI-Aware Attention

Sorna Shanmuga Raja, Abdelhafid Zenati

This paper presents a lightweight, end-to-end highway lane detection architecture that jointly captures spatial and temporal information for robust performance in real-world drivin…

cs.AI2025

A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification

Ahmed Nasir, Abdelhafid Zenati

The application of reinforcement learning to safety-critical systems is limited by the lack of formal methods for verifying the robustness and safety of learned policies. This pape…

eess.SY2022★ 1 cited

Validation of Neural Network Controllers for Uncertain Systems Through Keep-Close Approach: Robustness Analysis and Safety Verification

Abdelhafid Zenati, Nabil Aouf

Among the major challenges in neural control system technology is the validation and certification of the safety and robustness of neural network (NN) controllers against various u…

cs.LG2022★ 3 cited

Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications

Thomas Hickling, Abdelhafid Zenati, Nabil Aouf +1

The use of Deep Reinforcement Learning (DRL) schemes has increased dramatically since their first introduction in 2015. Though uses in many different applications are being found,…