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.
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