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LePlanner: An Iterative Amortized Controller For World Models

Bansal, Saksham et al.
arXiv (OAI Expanded) · Papers
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i-2-6i-2-9robotics
World models trained with joint-embedding predictive architectures learn compact, structured latent representations from physical interaction, yet planning in these latent spaces typically relies on one of two costly approaches. Search-based planners such as CEM, MPPI, and iCEM optimize action seque
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