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iSTAR

Texas A&M University College of Engineering

Multi-Agent Systems

← Research

This area studies teams of autonomous agents that have to share information and act safely under uncertainty and with limited resources. Recent papers cover learned communication for multi-agent reinforcement learning, efficient attention for resource-constrained agents, and situational awareness for multi-agent interaction.

Topics: multi-agent reinforcement learning, agent communication, situational awareness

People

  • Dr. Eman Hammad

Publications (3)

  1. SCALE-COMM: Shared, Contrastively-Aligned Latent Embeddings for MARL CommunicationMahmoud Abouelyazid, Eman HammadIEEE Intelligent Vehicles Symposium (IV), 2026
  2. DARRMS– An Efficient Algorithm for Dynamic Attention Radius in Resource-Constrained Multi-Agent SystemsBenjamin Alcorn, Eman HammadarXiv preprint, 2026
  3. Situational Awareness for Safe and Robust Multi-Agent Interactions Under UncertaintyBenjamin Alcorn, Eman HammadIEEE World Forum on Public Safety Technology (WF-PST), 2025

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