dailyai.report

The BAIR team introduced GRASP, a gradient-based planner that optimizes trajectories by lifting them into virtual states. This approach enables parallel optimization across time and integrates stochasticity directly into the process. By reducing the computational burden of long-horizon planning, it allows world models to navigate complex environments more efficiently than previous iterative methods.