Learning to interpret natural language instructions
SIAC '12: Proceedings of the Second Workshop on Semantic Interpretation in an Actionable Context（2012）
摘要
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.
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关键词
artificial agent,appropriate behavior,demonstration trace,high-level task,new instruction,novel environment,verbal instruction,natural language instruction
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