Yamato wrote:
Thanks for the nice paper.
I will run cleaner tests for the final version of the paper. I will also
try to test what each feature brings.
I hope that you do 70k simulations like MoGo, since "90s/game 1CPU"
depends on the simulation speed and the time distribution.
And I have a question. In section 4.1, you wrote:
Contiguity to the previous move is a very strong feature (gamma = 23)
Where has the number 23 come from?
It was learnt by the algorithm. I did not re-use the pattern weights
presented on Table 1. I ran the learning algorithm again, using a set of
light-weight features. Contiguity to the previous move got a gamma of 23.
Rémi
_______________________________________________
computer-go mailing list
[email protected]
http://www.computer-go.org/mailman/listinfo/computer-go/
