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All depends on how you define your data sets I suppose. IGS games include some professional games which, if it is the case that AG is perfectly trained on the a
by tel 11y ago
All depends on how you define your data sets I suppose. IGS games include some professional games which, if it is the case that AG is perfectly trained on the amateur mode, were smoothed away.
- argonaut 11y agoAgain, the only way to tell if overfitting specifically (and not other factors that are more likely) is the issue is performance on a held out test set.
- tel 11y agoThat's the only empirical way, yes. We can also just talk about what it would mean in theory, though. In this case, we'd say that AlphaGo is well trained to the training data set sampling distribution but that may be far from the actual world game distribution.
- argonaut 11y agoThat does not relate to overfitting. That problem is closer to "domain adaptation."