AINeutralarXiv – CS AI · 10h ago6/10
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Beyond Self-Play: Hierarchical Reasoning for Continuous Motion in Closed-Loop Traffic Simulation
Researchers propose a hierarchical reinforcement learning framework that combines multi-agent interaction reasoning with continuous motion control to improve behavioral realism in traffic simulations. The approach outperforms self-play methods by better capturing socially aware driving behaviors while maintaining safety and efficiency in closed-loop SUMO simulations.