# AndroidWorld

Swapping agent action selection for a fast decision model like Jev cut per-decision cost by 66.1% to 78.4% and decision time by 73.9% to 81.5%, yet task success held near baseline on ALFWorld and fell more sharply in two mobile agents, so local savings do not automatically become delivered outcomes.

Swapping agent action selection for a fast decision model like Jev cut per-decision cost by 66.1% to 78.4% and decision time by 73.9% to 81.5%, yet task success held near baseline on ALFWorld and fell more sharply in two mobile agents, so local savings do not automatically become delivered outcomes.

GUI agents no longer reconstruct the next screen pixel by pixel; a shared latent representation now scores candidate actions and predicts action-conditioned futures at once, raising success rates by up to 31.9% offline and 40.6% online relative to pixel-space world models while cutting world-model inference latency by up to 98.9%.

GUI agents no longer reconstruct the next screen pixel by pixel; a shared latent representation now scores candidate actions and predicts action-conditioned futures at once, raising success rates by up to 31.9% offline and 40.6% online relative to pixel-space world models while cutting world-model inference latency by up to 98.9%.