Gradient-based Planning for World Models at Longer Horizons
Reported by BAIR Blog: Gradient-based Planning for World Models at Longer Horizons. Analysis and context written by TickrWire.
Berkeley researchers introduce GRASP, a gradient-based planner for learned world models that extends planning horizons, improving long-term decision-making in AI systems.
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GRASP is a new gradient-based planner for learned
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