Looking for papers: emergency transportation/dispatch optimization using quantum + multi-agent RL (QMARL)

Hi everyone, I’m currently working on my thesis and I’m specifically looking for research papers or resources on solving emergency transportation or emergency dispatch problems (such as ambulance routing, dynamic fleet management, or emergency logistics) using Quantum Multi-Agent Reinforcement Learning (QMARL). My focus is on integrating quantum computing techniques (e.g., variational quantum circuits, quantum-enhanced policy/value functions, hybrid quantum-classical models) within a multi-agent RL framework to handle dynamic, stochastic, and decentralized decision-making settings. Despite extensive searching, I haven’t found work directly applying QMARL to emergency transportation scenarios. If anyone is aware of relevant papers, preprints, surveys, related applications, or even adjacent domains where QMARL has been applied to complex coordination or routing problems, I would greatly appreciate your guidance.