Skip to content

Latest commit

 

History

History
79 lines (63 loc) · 3.84 KB

README.md

File metadata and controls

79 lines (63 loc) · 3.84 KB
Raw

This repository is a collection of PDDL generators, some of which have been used to generate benchmarks for the International Planning Competition (IPC).

Instructions

  • Build all generators: ./build_all
  • Build in parallel: ./build_all -j4
  • Delete (some) intermediate files: ./build_all clean
  • Build single generator: cd assembly; make
  • Test generators: sudo apt install tox && tox

Docker instructions

  • Build in Docker image: docker build -t pddl-generators .
  • Run Docker container: docker run -ti -t pddl-generators

Feedback

  • Bug reports and pull requests are appreciated.

Citation

If you use the generators for a publication, please use the following citation:

@Misc{seipp-et-al-zenodo2022,
  author =       "Jendrik Seipp and {\'A}lvaro Torralba and J{\"o}rg Hoffmann",
  title =        "{PDDL} Generators",
  publisher =    "Zenodo",
  year =         "2022",
  howpublished = "\url{https://doi.org/10.5281/zenodo.6382173}"
}

Acknowledgments

The basis for this generator collection is the FF domain collection by Jörg Hoffmann. The following notes from that page were written with the original set of generators in mind, but still apply to the current collection:

The FF domain collection provides (randomized, where possible) generators for 20 STRIPS and ADL planning benchmark domains, including the examples used in both competitions. Below, we give, for each domain, information about the origin, made adaptions (if any), the parameters of the generator, and the randomization strategy. [...] The generators should be self-explanatory in terms of how to build them (makefiles are included), and how to run them. In the less obvious cases, we have also included a README file.

Note: We do not make any claims whatsoever about the validity of the problem ranges generated, nor about the adequacy of the kind of problems that are generated within a domain. We have made an effort to imitate closely the examples known from published problem suites, and we have generally chosen the most obvious first-guess randomization strategy. Some of the generators, like the one for Assembly, are quite a hack. Nevertheless, we believe that the generators form an invaluable tool for experimentation --- they have definitely done so in our own experiments. Please contact us with any comments or suggestions.

We thank all persons involved in the development of the domains [in this repository]. We try to mention the persons involved in creating the generators, but some authors are missing. Please contact us with any additional information on this.

Overview of mystery/mprime/nomystery domain variants

Repo: AI-Planning/pddl-generators (pddl-generators)

  • pddl-generators/mprime: typed, speaking names, pass fuel between locations, no fuel increment
  • pddl-generators/mystery: typed, speaking names, like pddl-generators/mprime but no fuel passing
  • pddl-generators/nomystery: typed, speaking names, fuel associated with trucks, very different from aibasel/no-mystery

Repo: aibasel/downward-benchmarks (aibasel)

  • aibasel/mprime: untyped, obfuscated names, pass fuel between locations, forbid increasing fuel

  • aibasel/mystery: untyped, obfuscated names, no fuel passing

  • aibasel/unofficial/no-mprime: untyped, speaking names, copy of aibasel/mprime but with speaking predicate names, fuel increasing allowed

  • aibasel/unoffical/no-mystery: untyped, speaking names, copy of aibasel/mystery but with speaking predicate names, no fuel passing

  • aibasel/nomystery-{opt,sat}11-strips: same as pddl-generators/nomystery

  • aibasel/mprime, aibasel/mystery, and aibasel/nomystery-{opt,sat}11-strips are the original IPC domains, with the fix applied to mprime, whereas the versions in pddl-generators are adaptations which behave the same.