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Using Plan Decomposition for Continuing Plan Optimisation and Macro Generation

Siddiqui, Fazlul Hasan


This thesis addresses three problems in the field of classical AI planning: decomposing a plan into meaningful subplans, continuing plan quality optimisation, and macro generation for efficient planning. The importance and difficulty of each of these problems is outlined below. (1) Decomposing a plan into meaningful subplans can facilitate a number of postplan generation tasks, including plan quality optimisation and macro generation – the two key concerns of this thesis. However,...[Show more]

CollectionsOpen Access Theses
Date published: 2016-01
Type: Thesis (PhD)


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