Stergios E. Bachoumas

Learning Adversarial Policies for Swarm Leader Identification Using a Probing Agent

This study introduces a novel approach to swarm leader identification (SLI) in multi-agent robot systems by employing a physical adversary interacting with the swarm in the same environment. We develop a new simulation environment to study the SLI problem and train an adversary, which we term the pr