By the way, why only 40 moves? That seems like the wrong place to economize, but maybe on 7x7 it's fine?
s. On Sun, Dec 9, 2018, 5:23 PM cody2007 via Computer-go < computer-go@computer-go.org wrote: > Thanks for your comments. > > >looks you made it work on a 7x7 19x19 would probably give better result > especially against yourself if you are a complete novice > I'd expect that'd make me win even more against the algorithm since it > would explore a far smaller amount of the search space, right? > Certainly something I'd be interested in testing though--I just would > expect it'd take many months more months of training however, but would be > interesting to see how much performance falls apart, if at all. > > >for not cheating against gnugo, use --play-out-aftermath of gnugo > parameter > Yep, I evaluate with that parameter. The problem is more that I only play > 20 turns per player per game. And the network seems to like placing stones > in terrotories "owned" by the other player. My scoring system then no > longer counts that area as owned by the player. Probably playing more turns > out and/or using a more sophisticated scoring system would fix this. > > >If I don't mistake a competitive ai would need a lot more training such > what does leela zero https://github.com/gcp/leela-zero > Yeah, I agree more training is probably the key here. I'll take a look at > leela-zero. > > ‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐ > On Sunday, December 9, 2018 7:41 PM, Xavier Combelle < > xavier.combe...@gmail.com> wrote: > > looks you made it work on a 7x7 19x19 would probably give better result > especially against yourself if you are a complete novice > > for not cheating against gnugo, use --play-out-aftermath of gnugo parameter > > If I don't mistake a competitive ai would need a lot more training such > what does leela zero https://github.com/gcp/leela-zero > Le 10/12/2018 à 01:25, cody2007 via Computer-go a écrit : > > Hi all, > > I've posted an implementation of the AlphaZero algorithm and brief > tutorial. The code runs on a single GPU. While performance is not that > great, I suspect its mostly been limited by hardware limitations (my > training and evaluation has been on a single Titan X). The network can beat > GNU go about 50% of the time, although it "abuses" the scoring a little > bit--which I talk a little more about in the article: > > > https://medium.com/@cody2007.2/alphazero-implementation-and-tutorial-f4324d65fdfc > > -Cody > > _______________________________________________ > Computer-go mailing > listComputer-go@computer-go.orghttp://computer-go.org/mailman/listinfo/computer-go > > > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go
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