Research5h 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 instability typically found in gradient-based planning for learned dynamics. Researchers at BAIR used this method to extend the effective planning horizon for world models. It provides a more stable path for autonomous agents.