Anyway, 37x37 is playable if you are willing to put in the time, but IMO there is a “diminishing return” on going bigger. One of the games which has yet to be finished was started over 3 years and 3 months ago! As mentioned, there were people playing 37x37 games on KGS long ago (and maybe still doing so, IDK, I stopped playing on KGS a few years ago) - the most famous was “Beer Slayer”. Haze and There are slightly over 20 Go Players in a 37x37 board size “infinite tournament” (what is called a “ladder” here on OGS) by correspondence on the “Little Golem” Game Server. (if you compile KataGo to try to scale up the board even more, and more to size 40, 50, 60,… you’ll finally start to see the nets say really crazy things given that they were trained on size at most 19). It seems in practice they do, to an extent. The only question is whether those transformations all together also happen to produce good moves and evaluations on a big board the same way they do on a smaller board, when the only thing they were trained to do was to produce those good moves and evaluations on the smaller board. Since these transformations are simply uniform rules about how pixels should adjust values based on their neighbors, they can always be applied no matter how big the board is - every pixel still just follows the same rule and updates based on its neighbors. And magically those transformations result in a map that shows what all the good moves are, who owns what territory, who’s winning, etc. 19x19 pixels, except instead of RGB you have channels that specify the stone on each spot and whatever other properties you want), and then almost all the layers in the net merely specify a sequence of local transformations by which pixels should change based on the pattern of their neighbors. You feed in the board as essentially a “image” (e.g. One key to making this work is actually that convolutional nets don’t physically care what the board size is. Recently released a version of KataGo’s code that works up to 29x29, and the same neural nets in the current run that were only trained on 7x7 through 19x19 seem to work okay on the larger boards. What do you think about playing on these crazy boards?įunnily enough, AIs can be strong on large boards without ever training on them. I originally intended it for multi player go with up to 6 players (you only have to trivially change the ko rule), but I got enough “stones” (actually colored bead things that resemble go stones) to be able to play a 2 player game on 27x27. I made one board for every uneven size from 5x5 to 27x27. I made a few of these boards (painted and lacquered MDF) about 10 years ago. I never wanted to play 19x19 correspondence because of the temptation for the opponent to cheat. I think computer players would at least have to be adjusted and recompiled, even if the required changes in current programs are small, which might discourage cheating.Are computer players good at this or will it be a throwback to the GNU Go stone age?.People tend to time out with byoyomi though, Fischer seems more lenient.
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