Hi all,
I encountered a problem with Fast Downward in problems involving conditional
effects and universal quantification, playing with translations from conformant
to classical planning.
The issue is a (IMO unjustified) computational time spent by FD in the
translation/grounding when universal quantification is done over a large (but not
huge) set of objects. I am attaching the instance (domain+problem) where I
observed this behaviour. On my machine in fact, the preprocessing time takes
about 50 secs, and the search just 0.5 seconds. The same instance is solved with
FF in 1.66 seconds.
There seems to be some kind of blow up in the representation, but (as observed by
Malte) could also only be an issue related to the poor performance of python.
Anyway, it would be wonderful if this could be fixed, or at least put in the
known caveats
Cheers
Enrico Scala
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