What if you use a faster, lower quality RNG? How much do the numbers change?
Don Dailey wrote:
Update:
4173 runs of 100,000 playouts from opening at 0.5 komi
mv: D4 count: 3 percent: 0.0719
mv: D5 count: 447 percent: 10.7117
mv: E5 count: 3723 percent: 89.2164
0.959 percent fall outside the following range ...
score: lo, med, hi -> 0.52031 0.52433 0.52835
nodes: lo, med, hi -> 11092602.0 11105554.0 11119436.0
On Thu, 2008-10-16 at 00:14 -0400, Don Dailey wrote:
I have some interesting statistics on the simple go program at 0.5 komi
from the starting position.
I'm running numerous 100,000 game samples and tracking the statistics to
see what kinds of variation I get in scores and nodes.
After 1748 runs I see that less than 1 percent of the games score lower
than 0.52027 or higher than 0.52823 when doing 100,000 game playouts.
So if you get scores outside this range you probably do not have a
conforming program as this is expected to happen less than 1% of the
time.
But what I really found interested is that only 3 moves (when accounting
for transformations) were chosen from the opening position. E5 was
chosen 85% of the time, and most of the remaining time D5 or
equivalent. Only 1 time was some other move chosen other than these
two and it was D4.
I wonder how long before it would chose A1? Probably a very long time
indeed!
So if your bot chooses a move other than E5 or D5, there is a very good
chance it is not conforming to our specification of a generic MC player.
---
1748 runs
mv: D4 count: 1 percent: 0.0572
mv: D5 count: 200 percent: 11.4416
mv: E5 count: 1547 percent: 88.5011
0.915 percent fall outside the following range ...
score: lo, med, hi -> 0.52027 0.52434 0.52823
nodes: lo, med, hi -> 11093084.0 11105628.5 11119815.0
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