See below: On Tue, Mar 22, 2016 at 5:21 PM, Lukas van de Wiel < lukas.drinkt.t...@gmail.com> wrote:
> It would reduce Alphago, because there is less training material in the > form of high-dan-games, to train the policy network. > Maybe not a concern. There has been a suggestion that AlphaGo be allowed to learn the 19x19 game with no human games input. - Also, there are larger game records (23x23, 25x25, and bigger) on KGS, which is where the AlphaGo team got the SGF files from to train for Lee Sedol. > > It would also reduce the skill of a human opponent, because (s)he would > have less experience on a larger board, just as AlphaGo. > Agreed.... Joseki would be different, etc... but I agree with Ray Tayek that humans can adopt quickly. > > It would be fun to see which can adapt better. > Agreed 100%!!! Sighris > > Cheers > Lukas > > On Wed, Mar 23, 2016 at 1:18 PM, Ray Tayek <rta...@ca.rr.com> wrote: > >> On 3/22/2016 11:25 AM, Tom M wrote: >> >>> I suspect that even with a similarly large training sample for >>> initialization that AlphaGo would suffer a major reduction in apparent >>> skill level. >>> >> > i think a human would also. > > > >> The CNN would require many more layers of convolution; >>> the valuation of positions would be much more uncertain; play in the >>> corner, edges, and center would all be more complicated patterns, and >>> there would be far more good candidates to consider at each ply and >>> rollouts would be much less stable and less accurate. >>> >> > yes. >> >> the normal board size is 19x19 because the amount of territory in the >> sides and corners is slightly larger than the amount of territory in the >> middle. >> >> thanks >> >> -- >> Honesty is a very expensive gift. So, don't expect it from cheap people - >> Warren Buffett >> http://tayek.com/ >> >> >> _______________________________________________ >> Computer-go mailing list >> > _______________________________________________ > Computer-go mailing list
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