TrafficGamer: Reliable and Flexible Traffic Simulation for Safety-Critical Scenarios with Game-Theoretic Oracles
This paper introduces TrafficGamer, which facilitates game-theoretic traffic simulation by viewing common road driving as a multi-agent game and demonstrates that the generated scenarios can dynamically adapt to equilibria of varying tightness by configuring risk-sensitive constraints during optimization.