10 citations · 14 across the 3 of their papers we have counts for
3 papers
q-bio.QM2024★ 1 cited
Curiosity as a Self-Supervised Method to Improve Exploration in De novo Drug Design
Mohamed-Amine Chadi, Hajar Mousannif, Ahmed Aamouche
In recent years, deep learning has demonstrated promising results in de novo drug design. However, the proposed techniques still lack an efficient exploration of the large chemical…
cs.LG2023★ 10 cited
Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization
Mohamed-Amine Chadi, Hajar Mousannif
This paper presents a review of the field of reinforcement learning (RL), with a focus on providing a comprehensive overview of the key concepts, techniques, and algorithms for beg…
physics.soc-ph2020★ 3 cited
Making Sense of the Current Covid 19 Situation and Suggesting a tailored Release Strategy through Modeling And Simulation Case Study: Casablanca, Morocco
Mohamed Amine Chadi, Hajar Mousannif
Since the very first days of announcing Covid 19 as a global pandemic, researchers around the world from different backgrounds and organizations including national governments and…