We compare pragmatic and non-pragmatic models at training and at test, while varying conditions on the training data to test hypotheses regarding the utility of pragmatic inference for learning.
we show that incorporating pragmatic reasoning at training time yields improved, state-of-the-art accuracy for listener models on the color reference task from Monroe et al.