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#machine learning Preprint Sep 2026

Learning to Explain While Planning: Rule-Aligned Diffusion Planning for Autonomous Driving

Diffusion planners exhibit strong capabilities in generating multimodal trajectories. However, existing methods primarily rely on expert demonstrations to fit trajectory distributions, learning statistical correlations among scenes, behaviors, and trajectories without explicitly modeling driving rules. In long-tail sce...

Jia-Xi Ye, Chun-Ji Lv, Guo-Ren Wang et al. · 0 citations

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