[computer-go] Re: Amsterdam 2007 paper

[Rémi Coulom]

David Silver wrote:
>
> I would be very interested to hear more about Dimwit's approach, and 
> also Remi's experiments with online learning in CrazyStone.
>

Hi,

My idea was very similar to what you describe. The program built a 
collection of rules of the kind "if condition then move". Condition 
could be anything from a "tree-search rule" of the kind "in this 
particular position play x", or general rule such as "in atari, extend". 
It could be also anything in-between, such as a miai specific to the 
current position. The strengths of moves were updated with an 
incremental Elo-rating algorithm, from the outcomes of random simulations.

I did not go very far in that direction, and my rule-based program is 
still very weak.  I found that I could bring very big improvements to 
Crazy Stone with the techniques I described in my paper, so I focused on 
that. I will incorporate my patterns into the rule-based program in the 
future.

I found that my rule-based program scaled extremely well with larger 
board sizes. What about yours ?

Rémi