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from Part II - Hierarchical Task Networks
Published online by Cambridge University Press: 19 May 2025
HTN planning algorithms require a set of HTN methods that provide knowledge about potential problem-solving strategies. Typically these methods are written by a domain expert, but this chapter is about some ways to learn HTN methods from examples. It describes how to learn HTN methods in learning-by-demonstration situations in which a learner is given examples of plans for various tasks, and also in situations where the learner is given only the plans and must infer what tasks the plans accomplish. The chapter also speculates briefly about prospects for a “planning-to-learn” approach in which a learner generates its own examples using a classical planner.
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