AINeutralarXiv – CS AI · 6h ago6/10
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Uncertainty-Aware and Temporally Regulated Expert Advice in Reinforcement Learning for Autonomous Driving
Researchers propose an uncertainty-aware reinforcement learning framework for autonomous driving that uses expert guidance to enable safer exploration while avoiding over-dependence on advice. The method combines epistemic and aleatoric uncertainty thresholds with a regulated commitment-cooldown strategy, demonstrating 5-7% improvements in success rates and reduced failures in CARLA simulations for unsignalized intersection navigation.