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• W2740257287 abstract "The real-world application of planning techniques often requires models with numeric fluents. However, these fluents are not directly supported by most planners and heuristics. We describe a family of planning algorithms that takes a numeric planning problem and produces an abstracted representation that can be solved using any classical planner. The resulting abstract plan is generalized into a policy and then used to guide the search in the original numeric domain. We prove that our approach is sound, and we evaluate it on a set of standard benchmarks. We show that it can provide competitive performance when compared to other well-known algorithms for numeric planning, and a significant performance improvement in certain domains." @default.
• W2740257287 created "2017-08-08" @default.
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• W2740257287 date "2017-08-01" @default.
• W2740257287 modified "2023-09-23" @default.
• W2740257287 title "Numeric Planning via Abstraction and Policy Guided Search" @default.
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• W2740257287 doi "https://doi.org/10.24963/ijcai.2017/606" @default.
• W2740257287 hasPublicationYear "2017" @default.
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