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How Long, Not How Close: A Learned Temporal Metric for Planning in Latent World Models
Latent world models plan by rolling a frozen predictor forward under candidate action sequences and ranking the candidates by the latent distance between their imagined end state and the goal. However, this ranking breaks down when the goal lies several plans away, because the latent distance measur
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