Research2d ago
GRASP Enables Long-Horizon World Model Planning
The GRASP planner optimizes trajectories by lifting them into virtual states. This approach allows for parallel optimization across time and integrates stochasticity directly into the process. Researchers at BAIR developed the method to overcome the computational bottlenecks of traditional gradient-based planning. It makes long-term forecasting more practical for autonomous agents.