Research3h ago
GRASP Enables Long-Horizon World Model Planning
The GRASP planner lifts trajectories into virtual states to parallelize optimization across time. This method adds stochasticity directly to the planning process, reducing the computational cost of long-horizon tasks. Researchers at BAIR developed the system to make learned dynamics more practical. It allows agents to plan complex sequences without the usual gradient instability.