A meta-trained test-time memory lets frozen world-action models absorb unlabeled human videos and outperform in-context video conditioning on real multi-embodiment manipulation.
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WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time
A meta-trained test-time memory lets frozen world-action models absorb unlabeled human videos and outperform in-context video conditioning on real multi-embodiment manipulation.