Decentralized Decision-Making among Heterogeneous Autonomous Vehicles: An $α$-Potential Game Framework

We study noncooperative multi-vehicle games among heterogeneous autonomous vehicles, where each vehicle adopts a decentralized closed-loop policy based on its own state, and optimizes an objective that depends on other vehicles through potentially asymmetric interaction weights. We develop an $α$-po