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
_______________________________________________
computer-go mailing list
computer-go@computer-go.org
http://www.computer-go.org/mailman/listinfo/computer-go/
