Connectivity-Influence Weighting: A Structural Bias for Graph-Based MARL
IEEE CCNC 2026 — a structural bias that weights messages by the connectivity and influence of the agents exchanging them, improving coordination and scalability under partial …
Reda El Marhouch
Ph.D. Student in Artificial Intelligence
I am a Ph.D. student in Artificial Intelligence at Ai Movement, the International Artificial Intelligence Center of Morocco at UM6P. My research interests are multi-agent reinforcement learning, graph-based communication between agents, and heterogeneous swarm coordination — in particular how structural priors over an agent’s communication graph can make coordination scale under partial observability.
Before starting the Ph.D. I graduated from the School of Information Sciences (ESI) as a Data and Knowledge engineer, and worked on applied computer vision and conversational AI.
Learning-Based Distributed Aerial Shepherding of UGV Swarms
DCOSS-IoT 2025 — a UAV acts as an aerial shepherd guiding a ground vehicle that leads a UGV swarm, with autonomous local-leader selection for cohesion and lower communication …