Author

Mengyun Xu

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Preprint Aug 2026

Knowledge-Data-Dual-Driven Reinforcement Learning for Autonomous Vehicle Control in Mixed Traffic

This work proposes Knowledge-Data Dual-driven Reinforcement Learning (KDDRL), a conditional deep generative model that effectively handles intention uncertainty, accelerates training convergence, and outperforms conventional baseline methods in terms of safety, efficiency, and comfort.

Jie Fang, Wei Zheng, Mengyun Xu et al. · 0 citations