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ACG-WAM: World-Action Modeling via Action-Conditioned Geometric Latent Prediction
World action models jointly learn visual predictionand robot actions, providing a way to use observations ofscene evolution for policy learning. Their video and actionlosses, however, provide no explicit target for the geometricconsequences of a demonstrated action sequence. Moreover,visual features
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