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JEPA-TTT: Persistent Test-Time Training of Latent World Models for Planning under Dynamics Shifts
World models enable agents to plan by predicting future states of the environment, but their predictions can become unreliable when test-time dynamics differ from those seen during training. We present JEPA-TTT, which adapts the latent dynamics predictor of a pretrained action-conditioned Joint-Embe
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