Text-adventure games, in which an agent must interact with the world entirely through natural language, provide us with two challenges that have proven difficult for deep reinforcement learning to solve (Narasimhan et al., 2015; Haroush et al., 2018;<cite> Ammanabrolu and Riedl, 2019)</cite> : (1) The agent must act based only on potentially incomplete textual descriptions of the world around it.