Factored Diffusion Policies:Compositionally Generalized Robot Control with a Single Score Network
This work presents factored diffusion policies: a single shared diffusion network trained with per-factor null-token dropout, whose score decomposes additively across factors at inference, under approximate conditional independence between factors given the action-observation pair.