Ifû * matches one of the true samples, the agent succeeds, otherwise it fails (in iterated learning, P (u|t) corresponds to the parent's distribution).
we are not evaluating the model on a perfect fit of the ground-truth (parent's, in case of iterated learning) distribution, but we score a hit for it as long as it outputs a combination in P (u|t).