Planning Along Latent Manifolds Avoids False Shortcuts to Distant Goals

A graph-based terminal cost improved goal-directed planning across four tasks without retraining the latent world model.

Big Tech
Zunzhi You · Linwei Tao · Siyu Xu · Yunke Wang · Chang Xu

The University of Sydney · Machine Learning Research, Apple

Research Digest··3 min read
You et al.

The authors studied LeWM, a latent world model that predicts the outcomes of candidate action sequences and selects the sequence whose terminal latent is closest to the goal latent.

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