>
> This is very interesting, do you have pointers to any papers or
> presentations concerning MCTS applications like this in any detail?
> If not yet, I'm sure many people on this list will be interested
> to hear about any publications in this area too when you finish some
> of the applications.
>
1) Application to fundamental AI tasks:
Application to noisy non-linear optimization (Algorithmica 2009):
http://hal.inria.fr/inria-00369788 (personnally, this
work convinced
me that UCT was really a great algorithm - for noisy
applications,
UCT really brings an improvement over many forms of
MCTS, and
as I've spent a long time trying to solve the same
thing with
other tools without success, I've been very surprised
of succeeding
at the first trial with UCT)
Application to non-linear optimization:
http://hal.inria.fr/inria-00374910/fr/
Application to active learning (ECML 2009)
http://hal.inria.fr/inria-00433866
2) Benchmarks on problems not too far from industry:
- Guillaume Chaslot et al published something around stock management
- Martin Müller et al published something around planning
3) Directly real-world or industrial applications
Application to library tuning (ICML 2009)
http://hal.inria.fr/inria-00379523/
The application to energy management is a big concern to me - it's in
progress. These problems have a huge ecological and economical importance,
it would really be great if computer-Go had an impact on this, and the
specificities of the problem are perfect - withing the partially observable
nature of the problem :-)
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