Preprint
Aug 2026
GAPL: Grounded Action-effect Policy Learning for LLM-Based Trajectory Planning
Trajectory planning for autonomous driving requires both high-level reasoning and precise low-level control. Large Language Models (LLMs) offer semantic-rich planning capabilities, however, their application is limited by hallucinated reasoning, poor grounding in environment dynamics, and limited numerical precision in...
Zhihong Cui, Hengyu Liu, Zhang-Kai Wu et al.
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