LRC-JEPA: Disentangling Dynamics and Residual Context for Efficient World Models
Compact JEPA world models enable efficient latent-space planning, but low-dimensional representation trained under reward-free self-supervision must encode both action-conditioned dynamics and predictable visual context. This competition can entangle controllable state with high-rank nuisance appearance and degrade pla...
Lu-Zhe Huang, Lei Chu, Jing-Yi Liang et al.
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