Shanhe Lou

Uncertainty-aware Reinforcement Learning for Autonomous Driving with Multimodal Digital Driver Guidance

While existing Learning from intervention (LfI) methods within the human-in-the-loop reinforcement learning (HiL-RL) paradigm mainly operate on the assumption that human policies are homogeneous and deterministic with low variance, natural human driving behaviors are multimodal with intrinsic uncert…