Learning to Interpret Natural Language Instructions
نویسندگان
چکیده
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.
منابع مشابه
Learning to Interpret Natural Language Instructions
We address the problem of training an artificial agent to follow verbal instructions 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.
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