Research4h ago
GRASP Enables Long-Horizon World Model Planning
The GRASP planner optimizes long-horizon trajectories by lifting them into virtual states. This approach enables parallel optimization across time and introduces stochasticity to prevent local minima. Researchers at BAIR developed the system to make learned dynamics more practical. It allows agents to plan complex sequences without the typical computational bottlenecks of sequential optimization.