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.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 > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge |
Related URLs: | |
Depositing User: | Mauro Vallati |
Date Deposited: | 11 Oct 2012 15:20 |
Last Modified: | 28 Aug 2021 11:22 |
URI: | http://eprints.hud.ac.uk/id/eprint/15356 |
Downloads
Downloads per month over past year
Repository Staff Only: item control page
![]() |
View Item |