Abstract
We introduce a new class of planning problems in which there is a separate set of actions with higher priority than regular actions. We present new planning domains to show that problems of practical interest may easily fit in this framework. We argue that though this framework is quite succinctly encoded in classical planning itself, existing planners are disappointingly inept at solving them. To demonstrate this, we have built a wrapper tool for planners which uses ad-hoc techniques to give far better results. Therefore, we also propose our encoded domains as new challenges for general-purpose planners.
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© 2012 Springer-Verlag Berlin Heidelberg
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Ghosh, K., Dasgupta, P., Ramesh, S. (2012). Planning with Action Prioritization and New Benchmarks for Classical Planning. In: Thielscher, M., Zhang, D. (eds) AI 2012: Advances in Artificial Intelligence. AI 2012. Lecture Notes in Computer Science(), vol 7691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35101-3_66
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DOI: https://doi.org/10.1007/978-3-642-35101-3_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35100-6
Online ISBN: 978-3-642-35101-3
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