C$^2$T: Captioning-Structure and LLM-Aligned Common-Sense Reward Learning for Traffic–Vehicle Coordination
arXiv:2604.13098v1 Announce Type: cross
Abstract: State-of-the-art (SOTA) urban traffic control increasingly employs Multi-Agent Reinforcement Learning (MARL) to coordinate Traffic Light Controllers (TLCs) and Connected Autonomous Vehicles (CAVs). How…