Xuan-Yi Li

When Does Experience Memory Help Closed-Loop LLM Driving Agents? A Controlled Evaluation with Resampled Warmup Pools, Token-Matched Fillers, and Audited Baselines

This work treats the warmup pool as a resampled random factor and adds token-matched irrelevant-filler controls, oracle-certified diagnostics, caution-pricing metrics, and quantified audits of the baseline ports to answer the question when does experience memory help a closed-loop LLM driving agent.