Research6h ago
GRASP Enables Long-Horizon World Model Planning
The GRASP planner optimizes trajectories by lifting them into virtual states to enable parallelization across time. This approach integrates stochasticity directly into the dynamics. By reducing the computational cost of gradient-based planning, BAIR researchers make long-horizon world model navigation practical. Practitioners can now optimize complex agent behaviors over longer sequences without linear time scaling.