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Sandwich-Residuals: Parameter-Efficient Test-time Adaptation of World Models
Latent world models enable planning by predicting the effects of actions in a learned representation space, but their predictions can become unreliable when test-time conditions differ from training. Existing test-time adaptation methods address this by updating parts of the pretrained model, often
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