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Beckmann World Models: Direct Terminal-Map Learning for One-Step Action-Conditioned Prediction
Action-conditioned world models support planning and policy evaluation by predicting future states. However, learning an accurate one-step predictor can require substantial training computation. We introduce Beckmann World Models (BWM), which learn a direct map from noise, visual history, and action
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