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Subject: Re: learning evaluation weights (was Re: Genetic algorithms for chess?)

Author: Ren Wu

Date: 11:18:04 05/23/98

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I think KK miss the point here.

Don's paper has outlined a framework to apply TD methods to chess
evaluator. In fact, it is not just for chess, his framework can be
easily applied to most other games as well. And what it can learn is not
just piece values but can be any evaluaion terms.  For me, the method,
or the way to solve the problem, is a lot more important.

I doubt that the search depth will effect the knight value that much,
but that is once again not the point, the point here is the way doing
things, not the experiment results.

If you suspect that search depth will effect the knight's value, why
don't you repeat the experiment but with greater depth? And report the
result here. Even if you come up a vast different values, there is still
no flaw in this framework, because you are still in the same framework.
The framework has no search depth limitations.

There is no major flaw in that research. ( And maybe there was  flaws in
your way to look things. :-)  )

Ren (renw@iname.com)






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