TL;DR: The authors embed task instructions in a vector space with a language model, and train a sensorimotor-controlling model on top to perform tasks given the instruction embeddings. The authors find that the models generalize to previously unseen tasks. Moreover, the embeddings are shown represent task subcomponents, enabling generalization.