AI RESEARCH
Quantum Advantage in Multi Agent Reinforcement Learning
arXiv CS.LG
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ArXi:2605.14235v1 Announce Type: new We present an empirical evaluation of quantum entanglement in agent coordination within quantum multi agent reinforcement learning (QMARL). While QMARL has attracted growing interest recently, most prior work evaluates quantum policies without provable baselines, making it impossible to rigorously distinguish quantum advantage from algorithmic coincidence. We address this directly by evaluating a decentralized QMARL framework with variational quantum circuit (VQC) actors with shared entangled states.