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I have a question about how the model is applied in inference. According to the pipeline, the Gaussian World Model requires a^(t) as input to predict the next GS, while the model ultimately predicts a^(t) through PerceiverIO. This means that the model’s prediction is used as an input for the model itself, which confuses me.
The text was updated successfully, but these errors were encountered:
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I have a question about how the model is applied in inference. According to the pipeline, the Gaussian World Model requires a^(t) as input to predict the next GS, while the model ultimately predicts a^(t) through PerceiverIO. This means that the model’s prediction is used as an input for the model itself, which confuses me.
The text was updated successfully, but these errors were encountered: