[computer-go] Re: Move Prediction and Strength in Monte-Carlo Go

[Rémi Coulom]

荒木伸夫 wrote:
> I have considered this, and I think that this may be caused by wrong 
> training model. 
> In my master thesis, I mentioned that the relationship between
>  top 1 accuracy of move prediction and the strength of Monte-Carlo
>  is not simple (I increased the number of matches to 600, and similar 
> tendency appeared). Therefore, it might be wrong to use only one human
>  move (top 1 move) as a positive example (such training will highten 
> top 1 accuracy). 
> We may need to use another training model...

Unfortunately, I don't believe a usable training model exists, besides 
playing plenty of games with the full MC tree search to figure out which 
weights produce the best playing strength.

A big problem is the sample distribution. Whatever patterns we use, they 
are general rules with exceptions. That is to say it is always possible 
to make up a weird (or not so weird) position where patterns fail. And 
when a MC program is using patterns, it is naturally attracted towards 
positions that are evaluated wrongly.

Rémi