RESEARCH PAPERSubmitted 25 Mar 2026

DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving

Pengxuan Yang; Yupeng Zheng; Deheng Qian; Zebin Xing; Qichao Zhang; Linbo Wang; Yichen Zhang; Shaoyu Guo; Zhongpu Xia; Qiang Chen; Junyu Han; Lingyun Xu; Yifeng Pan; Dongbin Zhao

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Classification

View four quadrants

Major category: WAMs
Quadrant: Outside quadrants
Architecture: Dual-system
Prediction paradigm: Other mechanisms
Subcategories: Policy post-training & WM-RL Autonomous driving Efficient inference & real-time control
Source review status: Verified from primary sources

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BibTeX

@article{dreamerad,
      title={DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving}, 
      author={Pengxuan Yang and Yupeng Zheng and Deheng Qian and Zebin Xing and Qichao Zhang and Linbo Wang and Yichen Zhang and Shaoyu Guo and Zhongpu Xia and Qiang Chen and Junyu Han and Lingyun Xu and Yifeng Pan and Dongbin Zhao},
      year={2026},
      journal={arXiv:2603.24587},
}

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Abstract

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