Research3h 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 system to make long-term planning in learned dynamics practical. It reduces the computational overhead typically found in gradient-based world models.