An Analysis of Learning to Plan as a Search Problem

作者: Jonathan Gratch , Gerald DeJong

DOI: 10.1016/B978-1-55860-247-2.50028-0

关键词:

摘要: Abstract C omposer is one of a growing number techniques for learning to plan. Like other approaches, it embodies simplifications overcome the complexities learning. These introduce tradeoffs between efficiency and effectiveness. In this paper we relate our general framework plan [Gratch92a]. This discussion illustrates how such may be used analyze particular approach, highlighting system's strengths weaknesses.

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