Latent World Action Model for GUI Agents
Pixel-space world models have recently emerged as a promising approach for GUI agents, predicting future screens prior to execution and subsequently re-perceiving them for action selection.
8 stories
Pixel-space world models have recently emerged as a promising approach for GUI agents, predicting future screens prior to execution and subsequently re-perceiving them for action selection.
Training computer-use agents currently runs into a clean wall: native desktop applications are painful to spin up at scale, and browser toys lack workflow depth.
Computer-use agents can perform increasingly complex GUI tasks, yet unfamiliar software and workflows requiring human domain knowledge remain challenging.
<ul><li>Changed: the card of a running scenario shows the name of the stage it is in and a row of numbered circles, one for every card of every pass. Finished cards are ticked, the current one glows, and the rest keep their numbers; the stage it is in is shaded behind its circles, and hovering a…
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