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LePlanner: Iterative Amortized Controller for Latent World Model Planning
Researchers introduce LePlanner, an iterative amortized controller designed to plan within the latent spaces of world models built on joint-embedding predictive architectures. The work targets the high computational cost of existing planning methods, which typically rely on either search-based or gradient-based optimization. The paper is posted on arXiv as a cross-listing.