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arXiv AI By Jie Li, Bin Guo, Georgina Curto, Zikang Liu, Mengqi Chen, yu li

PolicyMediator: Multi-Regional Policy Learning through Mediation Agents with Evolving Skills in OPC Ecosystems

Read the original on arXiv AI →

PolicyMediator is a Stackelberg framework that uses mediation agents to bridge the gap between one‑person companies (OPCs) and regional governments in China. By explaining verified policies to OPCs and reporting their needs back to governments, the mediator evolves its strategies through verification, allocation, capacity, and objective trajectories. In six‑region simulations, PolicyMediator outperforms all baselines, improving government objectives by 42.4% and OPC utility by 40.9%.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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