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• W2108760032 abstract "Most research in planning and learning has involved linear, state-based planners. This paper presents SCOPE, a system for learning search-control rules that improve the performance of a partial-order planner. SCOPE integrates explanation-based and inductive learning techniques to acquire control rules for a partial-order planner. Learned rules are in the form of selection heuristics that help the planner choose between competing plan refinements. Specifically, SCOPE learns domain-specific control rules for a version of the UCPOP planning algorithm. The resulting system is shown to produce significant speedup in two different planning domains." @default.
• W2108760032 created "2016-06-24" @default.
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• W2108760032 date "1996-08-04" @default.
• W2108760032 modified "2023-09-24" @default.
• W2108760032 title "Multi-strategy learning of search control for partial-order planning" @default.
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