Author

Ruiguo Zhong

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Preprint Sep 2026

ReWAM: Reciprocal World Action Models for Interactive Autonomous Driving

In interactive scenarios, an autonomous driving system is required to generate ego actions under the influence of other agents'behaviors. Existing World Action Models (WAMs) typically model other agents as components of the world model rather than as decision-makers that fundamentally shape the action of the ego agent,...

Ben-Shan Ma, Pei Liu, Rui-Guo Zhong et al. · 0 citations

#artificial intelligence Preprint Aug 2026

DA-WAM: Decision-Aligned Future Latents for Driving World Models

DA-WAM is proposed, a framework that unifies predictive representation learning, action-conditioned future modeling, and trajectory scoring under a single decision-making objective and demonstrates state-of-the-art performance on NAVSIM-v1 and NAVSIM-v2.

Rui-Guo Zhong, Ben-Shan Ma, Xiao-Long Chen et al. · 4 citations