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Code, benchmarks and experiment data for the IJCAI 2020 paper "Cost-Partitioned Merge-and-Shrink Heuristics for Optimal Classical Planning"

Sievers, Silvan; Pommerening, Florian; Keller, Thomas; Helmert, Malte

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@software{sievers_silvan_2020_3775872,
  author       = {Sievers, Silvan and
                  Pommerening, Florian and
                  Keller, Thomas and
                  Helmert, Malte},
  title        = {{Code, benchmarks and experiment data for the IJCAI 
                   2020 paper "Cost-Partitioned Merge-and-Shrink
                   Heuristics for Optimal Classical Planning"}},
  month        = apr,
  year         = 2020,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.3775872},
  url          = {https://doi.org/10.5281/zenodo.3775872}
}
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Publication date:
April 30, 2020
DOI:
10.5281/zenodo.3775872

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10.5281/zenodo.3775872

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Keyword(s):
classical planning merge-and-shrink abstractions cost partitioning
Grants:
European Commission:
  • BDE - Beyond Distance Estimates: A New Theory of Heuristics for State-Space Search (817639)
Communities:
License (for files):
GNU General Public License v3.0 or later

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Version 1 10.5281/zenodo.3775872 Apr 30, 2020
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