DiDrive: a risk-aware hierarchical diffusion framework for safe offline reinforcement learning in autonomous driving
Read the original at arxiv.org→arXiv:2609.01609v1 Announce Type: new Abstract: While diffusion models effectively capture multimodal behavioral priors for autonomous driving, offline reinforcement learning (RL) policies remain susceptible to...
Original headline: "DiDrive: A Risk-Aware Hierarchical Diffusion Framework for Safe Offline Reinforcement Learning in Autonomous Driving"
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- Sep 3, 04:00 UTC arXiv cs.LG lead source DiDrive: A Risk-Aware Hierarchical Diffusion Framework for Safe Offline Reinforcement Learning in Autonomous Driving