GRASP Enables Long-Horizon World Model Planning | dailyai.report
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Research
115d ago
GRASP Enables Long-Horizon World Model Planning
The GRASP planner optimizes trajectories by lifting them into virtual states, allowing parallel optimization across time. This approach solves the vanishing gradient problem common in long-horizon world models. Researchers at BAIR added stochasticity to the process to improve robustness.
The Signal
Practitioners can now execute complex, multi-step plans without the typical computational collapse.