2026
Learning Rollout from Sampling: An R1-Style Tokenized Traffic Simulation Model
RA-L 2026
Learning diverse and high-fidelity traffic simulations from human driving demonstrations is crucial for autonomous driving evaluation. The recent next-token prediction (NTP) paradigm, widely adopted in large language models (LLMs), has been applied to traffic simulation and achieves iterative improv