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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…