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Jing-Tang Chen

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#machine learning Preprint Jun 2026

DiDrive: A Risk-Aware Hierarchical Diffusion Framework for Safe Offline Reinforcement Learning in Autonomous Driving

DiDrive, a distribution-guided offline diffusion framework featuring two synergistic components: the Risk-Aware Hierarchical Diffusion (RHDif) architecture and the 3DICE policy optimization paradigm, is proposed, providing a robust pathway for safe autonomous driving decision-making.

Qi-Song Guo, Jing-Tang Chen, Zhi-Lin Chen et al. · 0 citations

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