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Lian Li

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#machine learning Preprint May 2026

World Model Control by Trajectory Reachability Metrics

A fixed encoder is studied in a fixed encoder and trajectory reachability metrics (TRM), a small temporal pairwise cost trained from logged trajectories and used to rank predicted endpoints of a candidate action sequence against a goal is introduced.

Lian Li, Shengzhi Wang, Li-Bin Qiu et al. · 2 citations
Preprint Jul 2026

Action from Adjacent Set in Physical Space Outperforms the Best Prediction in World Models

This work introduces Adjacent Set Action Reconstruction (ASAR), a method that identifies an adjacent set using standardized early action prefixes and reconstructs a full action sequence through locally weighted aggregation with a light anchor from the sequence with minimum cost.

Lian Li, Qingwen Liu, Mingqing Liu et al. · 0 citations

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