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An Automatically Configurable Portfolio-based Planner with Macro-actions: PbP

Gerevini, Alfonso, Saetti, Alessandro and Vallati, Mauro (2009) An Automatically Configurable Portfolio-based Planner with Macro-actions: PbP. In: Proceedings of the 19th International Conference on Automated Planning and Scheduling. AAAI, Thessaloniki, Greece.

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Abstract

While several powerful domain-independent planners have recently been developed, no one of these clearly outperforms all the others in every known benchmark domain. We present PbP, a multi-planner which automatically configures a portfolio of planners by (i) computing some sets of macro-actions for every planner in the portfolio, (ii) selecting a promising combination of planners in the portfolio and relative useful
macro-actions, and (iii) defining some running time slots for their round-robin scheduling during planning. The configuration relies on some knowledge about the performance of the planners in the portfolio and relative macro-actions which is automatically generated from a training problem set. PbP entered the learning track of IPC-2008 and was the overall winner of this competition track. An experimental study confirms the effectiveness of PbP, and shows that the learned configuration knowledge is useful for PbP.

Item Type: Book Chapter
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Schools: School of Computing and Engineering
School of Computing and Engineering > Informatics Research Group > Knowledge Engineering and Intelligent Interfaces
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Depositing User: Mauro Vallati
Date Deposited: 11 Oct 2012 16:20
Last Modified: 01 Nov 2012 15:13
URI: http://eprints.hud.ac.uk/id/eprint/15356

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