Gradient-based Planning for World Models at Longer Horizons

This story from BAIR (Berkeley) is relevant to the Research branch of the AI ecosystem and may affect models, products, or research direction.

GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1) lifting the trajectory into virtual states so optimization is parallel

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