Fast Downward Aidos

نویسندگان

  • Jendrik Seipp
  • Florian Pommerening
  • Silvan Sievers
  • Martin Wehrle
  • Chris Fawcett
  • Yusra Alkhazraji
چکیده

This paper describes the three Fast Downward Aidos portfolios we submitted to the Unsolvability International Planning Competition 2016. All three Aidos variants are implemented in the Fast Downward planning system (Helmert 2006). We use a pool of techniques as a basis for our portfolios, including various techniques already implemented Fast Downward, as well as three newly developed techniques to prove unsolvability. We used automatic algorithm configuration to find a good Fast Downward configuration for each of a set of test domains and used the resulting data to select the components, their order and their time slices for our three portfolios. For Aidos 1 and 2 we made this selection manually, resulting in two portfolios comprised mostly of the three new techniques. Aidos 1 distributes the 30 minutes based on our experiments, while Aidos 2 distributes the time uniformly. Aidos 3 contains unmodified configurations from the tuning process with time slices automatically optimized for the number of solved instances per time. It is based both on the new and existing Fast Downward components. The remainder of this planner abstract is organized as follows. First, we describe the three newly developed techniques. Second, we list the previously existing components of Fast Downward that we have used for configuration. Third, we describe the benchmarks used for training and test sets. Fourth, we describe the algorithm configuration process in more detail. Finally, we briefly describe the resulting portfolios.

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تاریخ انتشار 2016