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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