Output details
11 - Computer Science and Informatics
University of Strathclyde
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Output 0 of 0 in the submission
Output title
Implicit Learning of Macro-Actions for Planning
Type
E - Conference contribution
Name of conference/published proceedings
Proceedings of the 2010 conference on ECAI 2010 : 19th European Conference on Artificial Intelligence
Volume number
-
Issue number
-
First page of article
323
ISSN of proceedings
-
Year of publication
2010
Number of additional authors
1
Additional information
<22>The significance of this paper is that it evolves innovative macros that are not present in any example plan. The high performance (placed 3rd out of 13 entrants) of the WIZARD system in the 6th International Planning Competition in 2008 is directly attributable to this technique demonstrating impact. This impact was deepened when WIZARD was incorporated directly by Gerevini’s group into their portfolio-based planning system (PbP) and was highly significant in the top ranking performance of their system in the learning track of the 7th International Planning Competition in 2011.
Interdisciplinary
-
Cross-referral requested
-
Research group
C - Software Systems
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-