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Yuxuan Dong

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#artificial intelligence Preprint Oct 2026

An Informational Curse of Horizon in Goal-Conditioned Policy Learning

This work identifies an additional informational curse of horizon in goal-conditioned policy learning, where increasing the goal relabeling horizon can significantly reduce policy generalization and performance, and finds that distilling the input Jacobians of short-horizon policies into long-horizon policies yields si...

John L. Zhou, Yuxuan Dong, Jonathan C. Kao · 0 citations

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