Normalization Flow

A generative model that transforms a simple base distribution into a complex target distribution through a sequence of invertible transformations. Normalizing flows enable exact density evaluation and efficient sampling. In robot learning, they are used for modeling multi-modal action distributions as an alternative to diffusion models, with the advantage of single-pass generation.