Update README.md

README.md

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 **SimWAM** is a World-Action Model for end-to-end autonomous driving. It transfers video-dynamics priors to trajectory prediction by jointly training a pretrained video expert and a lightweight action diffusion transformer with flow matching.
 
-An isolated attention mask prevents the action branch from accessing future-frame tokens. As a result, the video-generation branch is used only as a training signal and can be removed at inference time, leaving a self-contained action expert that directly predicts future driving trajectories.
+An isolated attention mask keeps action prediction independent of future frames, allowing trajectory prediction without explicit future-frame generation at inference.
 
 This repository contains the official supervised and reinforcement-learning checkpoints for SimWAM on NAVSIM.