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Author

Tao Huang

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Preprint Aug 2026

Traj-LeWM: Path-Aware World-Model Planning via Latent Trajectory Cost

Traj-LeWM is proposed, which retains LeWM's local-dynamics objective and endpoint score while introducing a goal-conditioned latent trajectory cost (LTC) that aggregates trajectory-level information as a complementary signal.

Xiaodi Huang, Ziyi Ding, Jingtian Wan et al. · 0 citations
Preprint Aug 2026

Foresight Without Seeing: Latent Futures for World Action Models

ForeWAM is proposed, a dynamics-conditioned direct-policy WAM that provides predictive context for action generation without decoding future videos, and demonstrates that direct-policy WAMs can retain efficient action prediction while exposing predictive dynamics to the action pathway without explicitly generating future observations.

Jiakai Huang, Zhongbo Wu, Zheng Zhang et al. · 0 citations

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