Learning to Interpret Natural Language Instructions

  title={Learning to Interpret Natural Language Instructions},
  author={Monica Babes-Vroman and James MacGlashan and Ruoyuan Gao and Kevin Winner and Richard Adjogah and Marie desJardins and Michael S. Littman and Smaranda Muresan},
This paper addresses the problem of training an artificial agent to follow verbal instructions representing high-level tasks using a set of instructions paired with demonstration traces of appropriate behavior. From this data, a mapping from instructions to tasks is learned, enabling the agent to carry out new instructions in novel environments.