Implicit Learning of Macro-Actions for Planning
Newton, M. A. H. and Levine, J.; (2010) Implicit Learning of Macro-Actions for Planning. In: Proceedings of the 2010 conference on ECAI 2010. ACM, New York, pp. 323-328. ISBN 978-1-60750-605-8 (https://doi.org/10.3233/978-1-60750-606-5-323)
Full text not available in this repository.Request a copyAbstract
We build a comprehensive macro-learning system and contribute in three different dimensions that have previously not been addressed adequately. Firstly, we learn macro-sets considering implicitly the interactions between constituent macros. Secondly, we effectively learn macros that are not found in given example plans. Lastly, we improve or reduce degradation of plan-length when macros are used; note, our main objective is to achieve fast planning. Our macro-learning system significantly outperforms a very recent macro-learning method both in solution speed and plan length.
ORCID iDs
Newton, M. A. H. and Levine, J. ORCID: https://orcid.org/0000-0001-7016-2978;-
-
Item type: Book Section ID code: 44525 Dates: DateEvent1 August 2010PublishedNotes: IOS Press e-books Subjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 23 Aug 2013 09:19 Last modified: 11 Nov 2024 14:52 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/44525