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GUI world models fail when hidden state is omitted from predictions
Authors diagnose state aliasing and propose predictive-state recovery to restore accuracy.
Chinese Tech
Dongsheng Liu · Chao Jin · Wenkui Yang · Hejin Wang · Junwei Yang · Zeren Zhang · +4 more
University of Chinese Academy of Sciences · Institute of Automation, Chinese Academy of Sciences · Huawei Noah's Ark Lab
Research Digest··3 min read
The authors show that GUI world models that condition only on visible observations systematically fail when identical interfaces hide different transition-relevant state.
Why this paper
From University of Chinese Academy of Sciences and 2 others · Part of World Model Planning for Agents, now 24 papers
In one line
State aliasing in GUI world models is resolved by inferring hidden state from history.
What we could check
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- ·No stated limitations found
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