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Helmert, Malte
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Merge-and-shrink abstraction: a method for generating lower bounds in factored state spaces
Helmert M., Haslum P., Hoffmann J., Nissim R. Journal of the ACM 61(3): 1-63, 2014. Type: Article
Pattern databases are heuristics used in search that rely on abstractions that aggregate states if they agree on a subset of the state variables. This paper considers a more general class of abstractions called merge-and-shrink abstrac...
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Aug 6 2014
Relative-order abstractions for the pancake problem
Helmert M., Röger G. ECAI 2010 (Proceeding of the 19th European Conference on Artificial Intelligence, Lisbon, Portugal, Aug 16-20, 2010) 745-750, 2010. Type: Proceedings
Pattern databases (PDBs) are among the most effective techniques for solving hard combinatorial problems, including sliding tile puzzles, Rubik’s cube, and the Towers of Hanoi, and they have been successfully applied to a num...
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Dec 27 2010
Understanding planning tasks: domain complexity and heuristic decomposition (Lecture Notes in Computer Science 4529)
Helmert M., Springer Publishing Company, Incorporated, 2008. 270 pp. Type: Book (9783540777229)
The International Planning Competition (IPC), which started in 1998, has subsequently been held biennially, and has provided a focus for much recent work in planning. One major outcome from the competitions has been the provision of a ...
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Jul 18 2008
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