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HaM-World: Soft-Hamiltonian World Models with Selective Memory for Planning
World models support model-based planning through learned latent dynamics, but imagined rollouts can become unstable as the planning horizon grows or the dynamics distribution shifts. We propose HaM-World, a structured world model that combines history-conditioned selective memory with a Soft-Hamilt
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