3 papers
cs.LG2026
Quantum Advantage in Multi Agent Reinforcement Learning
Simranjeet Singh Dahia, Claudia Szabo
We present an empirical evaluation of quantum entanglement in agent coordination within quantum multi agent reinforcement learning (QMARL). While QMARL has attracted growing intere…
cs.LG2026
Finding the Weakest Link: Adversarial Attack against Multi-Agent Communications
Maxwell Standen, Junae Kim, Claudia Szabo
Multi-agent systems rely on communication for information sharing and action coordination, which exposes a vulnerability to attacks. We investigate single-victim communication pert…
cs.MA2026
Building Large-Scale Drone Defenses from Small-Team Strategies
Grant Douglas, Stephen Franklin, Claudia Szabo +1
Defending against large adversarial drone swarms requires coordination methods that scale effectively beyond conventional multi-agent optimisation. In this paper, we propose to sca…