Research2h ago
GRASP Enables Long-Horizon World Model Planning
The GRASP planner lifts trajectories into virtual states to parallelize optimization across time. This approach solves the vanishing gradient problem common in long-horizon world models. By adding stochasticity directly to the planning process, BAIR researchers improved stability. Practitioners can now optimize complex agent behaviors over longer sequences without computational collapse.