Learning to interpret natural language instructions
Monica Babeş-Vroman, James MacGlashan, Ruoyuan Gao, Kevin Winner, Richard Adjogah, Marie Ellen Desjardins, Michael L. Littman, Smaranda Muresan · 2012
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.