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| = Fast Downward experiments = | = Experiments = |
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| We recommend using the {{{downward}}} package for running Fast Downward experiments. It is part of {{{lab}}}, a python library for running code on large benchmark sets. Experiments can be run either locally or on a computer cluster. You can find the code at https://bitbucket.org/jendrikseipp/lab. The documentation is available at http://lab.rtfd.org. | We recommend using the {{{Downward Lab}}} toolkit for running Fast Downward experiments. Experiments can be run either locally or on a computer cluster. You can find the code at https://github.com/aibasel/lab. The documentation is available at http://lab.rtfd.org. == AI Basel Grid == Please see https://wiki.dmi.unibas.ch/doku.php?id=fbi:ai:compute-cluster (only available from within the University of Basel network) for instructions on how to use the AI Basel grid. |
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Experiments
We recommend using the Downward Lab toolkit for running Fast Downward experiments. Experiments can be run either locally or on a computer cluster. You can find the code at https://github.com/aibasel/lab. The documentation is available at http://lab.rtfd.org.
AI Basel Grid
Please see https://wiki.dmi.unibas.ch/doku.php?id=fbi:ai:compute-cluster (only available from within the University of Basel network) for instructions on how to use the AI Basel grid.