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HIJP: A New Framework for Search-Free Planning in Latent Space

The paper proposes Hindsight Inverse JEPA Planning (HIJP), which uses a goal-conditioned inverse model to predict actions directly from current and goal observations, replacing costly test-time action-sequence optimization in latent world models.

Part of the event: Guanchen Du et al. propose search-free planning framework HIJP

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