regularize it by forcing the system to stay within regions of the forward model that where the foreign model is pretty sure of its predictions so that the system doesn't try to drive crazy stuff in crazy ways that are not present in the training set and and where its forward model can't really predict what's going to happen accurately and you do this by estimating the uncertainty in the prediction to the forward model by sampling the output of the forward model with these random variables you can sample like the the