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.Metadata only available from this repository.
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
|Depositing User:||Mauro Vallati|
|Date Deposited:||11 Oct 2012 16:20|
|Last Modified:||01 Nov 2012 15:13|
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