arXiv cs.CV
· Papers
Language-Structured Relational Q-Learning for Threat-Aware Control in Safety-Critical Driving
arXiv:2608.11498v1 Announce Type: new Abstract: Natural-language-based scenario generation offers an intuitive means of describing rare and complex driving interactions, yet it is still uncertain whether training with language-structured data leads to truly adaptive control policies. We propose Language-Structured Rela