TrafficClaw: A Generalizable LLM Agent in the Unified Physical Environment for Urban Traffic Control 事件

TrafficClaw: A Generalizable LLM Agent in the Unified Physical Environment for Urban Traffic Control arXiv:2604.17456v2 Announce Type: replace Abstract: Large language model (LLM) agents have shown strong capabilities in long-horizon reasoning, tool use, and decision-making in digital environments, yet extending them to physically grounded systems remains challenging. Unlike web, code, or game environments, where objectives are often weakly coupled, physical systems evolve through tightly coupl