Energy-based Compositional Diffusion Planning
Compositional diffusion planners enable robotic decision-making beyond the horizon of training trajectories. Yet, current approaches often rely on the heuristic stitching of local predictions. We demonstrate that this induces a non-conservative vector field that does not mathematically correspond to…