The same applies to the generation of the attack, health and cost values as each of these predictors is an element in R. Thus, we define our objective function as a marginal log likelihood function over a latent variable ω: Formally, ω is a sequence of pairs r t , s t , where r t ∈ R denotes the predictor that is used at timestamp t and s t the generated string.
yet, it is a promising result that the model was able to capture this difference.