Fascinating article, I feel like quanta always puts out high quality stuff. I don't know if I misunderstood though, but the article mentions:

"In subsequent steps of the algorithm, should it pick parameters that we have already picked before in earlier steps, or should we exclude those?"

Isn't it the training examples the two different types of sampling are considered for, instead of the parameters of the model?