Before revision:  We demonstrate empirically that KG-based representations from our model help agents to converge faster to better policies for multiple text-based games, and further, enable stronger zero-shot performance on unseen games . Experiments on unseen games show that our best agent outperforms text-based baselines by 21.6 \%.
After revision:  We demonstrate empirically that KG-based representations from our model help agents to converge faster to better policies than their text-only counterparts and facilitate effective generalization across game configurations . Experiments on unseen games show that our best agent outperforms text-based baselines by 21.6 \%.