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Hamiltonian JEPA: Action-Conditioned World Models with an Inherited Control State
Planning from pixels needs more than a latent space that is stable and predictable. The state the planner scores must also be organized by how actions move the system. Joint-embedding predictive architectures (JEPAs) avoid pixel reconstruction by predicting future representations, but existing actio
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