Research4h ago
GRASP Enables Long-Horizon World Model Planning
The GRASP planner optimizes long-horizon 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 gradient-based planning practical for complex learned dynamics. It reduces the computational bottleneck for autonomous agents.