Contrastive World Models: latent-space world models without pixel prediction
bonniesjli · x · 2026-09-26
Contrastive World Models train latent states to maximize mutual information with future observations, with no decoders or pixel reconstruction. The approach yields substantially more robust representations, far more efficient training by removing the pixel decoder entirely, and a general method with minimal assumptions.
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