AIBullisharXiv – CS AI · 8h ago7/10
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An LLM-Explainable DRL Framework for Passenger-Directed Autonomous Driving
Researchers developed a framework combining deep reinforcement learning (DRL) with large language models (LLMs) to make autonomous vehicles safer and more trustworthy by explaining driving decisions to passengers. The system was trained to handle three driving modes—fast, comfort, and stop—while generating safety-focused explanations for its actions, demonstrating effective mode switching and rule compliance.