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Read June 22, 2026

World Action Models: A Survey — Dream Less, Act More

Authors
Qiuhong Shen, Shihua Zhang, Yue Liao, et al. (NUS)
Venue
Survey, 2026
Link
https://world-action-models.github.io/
Tags
world-modelsaction-modelssurveyembodied-ai

Status

Started 2026-06-22, still reading.

What it’s about

World Action Models (WAMs) are embodied predictive-action models: they forecast the future in a form that can be turned into action. The survey argues the field has gotten blurry — broad world models, video generation models, action-grounded video world models, VLA policies, and WAMs all overlap — and tries to give everyone a shared vocabulary.

How it organizes the field (two views)

The takeaway I want to remember

WAMs aren’t just video generators with an action head. Their design choices trade representational richness against compute, memory, latency, and action-label cost — and the trend is “dream less, act more”: generate less of the future, preserve what control requires.

My notes (to fill in)

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