Research1d 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, reducing the computational cost of long-term forecasting. Researchers at BAIR developed the method to make gradient-based planning practical. It allows agents to navigate complex environments with greater temporal depth.