On Thu, Oct 26, 2017 at 2:02 PM, Gian-Carlo Pascutto <g...@sjeng.org> wrote:
> On 26-10-17 15:55, Roel van Engelen wrote: > > @Gian-Carlo Pascutto > > > > Since training uses a ridiculous amount of computing power i wonder > > if it would be useful to make certain changes for future research, > > like training the value head with multiple komi values > > <https://arxiv.org/pdf/1705.10701.pdf> > > Given that the game data will be available, it will be trivial for > anyone to train a different network architecture on the result and see > if they get better results, or a program that handles multiple komi > values, etc. > > The problem is getting the *data*, not the training. > But the data should be different for different komi values, right? Iteratively producing self-play games and training with the goal of optimizing for komi 7 should converge to a different optimal player than optimizing for komi 5. But maybe having high quality data for komi 7 will still save a lot of the work for training a komi 5 (or komi agnostic) network?
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