I just want to see how to get 0.5 for the initial position on the board with some definition.
One possibility is that 0=loss, 1=win, and the number they are quoting is sqrt(average((prediction-outcome)^2)). On Thu, Feb 4, 2016 at 3:40 PM, Hideki Kato <hideki_ka...@ybb.ne.jp> wrote: > I think the error is defined as the difference between the > output of the value network and the average output of the > simulations done by the policy network (RL) at each position. > > Hideki > > Michael Markefka: <CAJg7PAN9G2_htRs0mfKuFi82yef7gNFCsouE4ez4f37_pK= > k...@mail.gmail.com>: > >That sounds like it'd be the MSE as classification error of the eventual > result. > > > > > >I'm currently not able to look at the paper, but couldn't you use a > > >softmax output layer with two nodes and take the probability > > >distribution as winrate? > > > > > >On Thu, Feb 4, 2016 at 8:34 PM, Álvaro Begué <alvaro.be...@gmail.com> > wrote: > > >> I am not sure how exactly they define MSE. If you look at the plot in > figure > > >> 2b, the MSE at the very beginning of the game (where you can't possibly > know > > >> anything about the result) is 0.50. That suggests it's something else > than > > >> your [very sensible] interpretation. > > >> > > >> Álvaro. > > >> > > >> > > >> > > >> On Thu, Feb 4, 2016 at 2:24 PM, Detlef Schmicker <d...@physik.de> wrote: > > >>> > > >>> -----BEGIN PGP SIGNED MESSAGE----- > > >>> Hash: SHA1 > > >>> > > >>> >> Since all positions of all games in the dataset are used, winrate > > >>> >> should distributes from 0% to 100%, or -1 to 1, not 1. Then, the > > >>> >> number 70% could be wrong. MSE is 0.37 just means the average > > >>> >> error is about 0.6, I think. > > >>> > > >>> 0.6 in the range of -1 to 1, > > >>> > > >>> which means -1 (eg lost by b) games -> typical value -0.4 > > >>> and +1 games -> typical value +0.4 of the value network > > >>> > > >>> if I rescale -1 to +1 to 0 - 100% (eg winrate for b) than I get about > > >>> 30% for games lost by b and 70% for games won by B? > > >>> > > >>> Detlef > > >>> > > >>> > > >>> Am 04.02.2016 um 20:10 schrieb Hideki Kato: > > >>> > Detlef Schmicker: <56b385ce.4080...@physik.de>: Hi, > > >>> > > > >>> > I try to reproduce numbers from section 3: training the value > > >>> > network > > >>> > > > >>> > On the test set of kgs games the MSE is 0.37. Is it correct, that > > >>> > the results are represented as +1 and -1? > > >>> > > > >>> >> Looks correct. > > >>> > > > >>> > This means, that in a typical board position you get a value of > > >>> > 1-sqrt(0.37) = 0.4 --> this would correspond to a win rate of 70% > > >>> > ?! > > >>> > > > >>> >> Since all positions of all games in the dataset are used, winrate > > >>> >> should distributes from 0% to 100%, or -1 to 1, not 1. Then, the > > >>> >> number 70% could be wrong. MSE is 0.37 just means the average > > >>> >> error is about 0.6, I think. > > >>> > > > >>> >> Hideki > > >>> > > > >>> > Is it really true, that a typical kgs 6d+ position is judeged with > > >>> > such a high win rate (even though it it is overfitted, so the test > > >>> > set number is to bad!), or do I misinterpret the MSE calculation?! > > >>> > > > >>> > Any help would be great, > > >>> > > > >>> > Detlef > > >>> > > > >>> > Am 27.01.2016 um 19:46 schrieb Aja Huang: > > >>> >>>> Hi all, > > >>> >>>> > > >>> >>>> We are very excited to announce that our Go program, AlphaGo, > > >>> >>>> has beaten a professional player for the first time. AlphaGo > > >>> >>>> beat the European champion Fan Hui by 5 games to 0. We hope > > >>> >>>> you enjoy our paper, published in Nature today. The paper and > > >>> >>>> all the games can be found here: > > >>> >>>> > > >>> >>>> http://www.deepmind.com/alpha-go.html > > >>> >>>> > > >>> >>>> AlphaGo will be competing in a match against Lee Sedol in > > >>> >>>> Seoul, this March, to see whether we finally have a Go > > >>> >>>> program that is stronger than any human! > > >>> >>>> > > >>> >>>> Aja > > >>> >>>> > > >>> >>>> PS I am very busy preparing AlphaGo for the match, so > > >>> >>>> apologies in advance if I cannot respond to all questions > > >>> >>>> about AlphaGo. > > >>> >>>> > > >>> >>>> > > >>> >>>> > > >>> >>>> _______________________________________________ Computer-go > > >>> >>>> mailing list Computer-go@computer-go.org > > >>> >>>> http://computer-go.org/mailman/listinfo/computer-go > > >>> >>>> > > >>> >> _______________________________________________ Computer-go > > >>> >> mailing list Computer-go@computer-go.org > > >>> >> http://computer-go.org/mailman/listinfo/computer-go > > >>> -----BEGIN PGP SIGNATURE----- > > >>> Version: GnuPG v2.0.22 (GNU/Linux) > > >>> > > >>> iQIcBAEBAgAGBQJWs6WFAAoJEInWdHg+Znf4eTsP/21vawWsmrZkDuAjTkwbKB2S > > >>> 7LpLi3huuLlepkulmUr3rIUvDHhTOwD04pDHjjVrIDBB1k3JjQQ/YKWDfijQQYu6 > > >>> ZI1GK55pglUPH+uc+rxfM89ziJwCQrza71l5XU+5ffcBwxRjeAL+D1fGGyr0CPlv > > >>> WKR/Q07XDslXhwlk2O6NDpd80d38dMlMV9lO4s8Zf3Y+o8WJOuyEdybRpg8VOibq > > >>> o59RCAWUiVkTs++iSihcIrVAwGnLtkPyMJ/lBN6zMyZQeuM0dyYL+IAoMH9IdCLQ > > >>> 0jpbtJEqtSsp1ZjWs9s/M4pxKlvUZLThtYSjyGDJ2qDYXII6DeBgxHGUoUxc5A6a > > >>> HVF04gG77U2fMCa/6eGlQN2380kNCjdyRCDUZc9St3tbQPnWU+syk6U/inF7bhAA > > >>> 7ONJD0dcjZROmblqurv32pO6sLuS8wA4DfJhpM5xSSJcYI46YQtVWL4OXY+dtx6S > > >>> 6uQ1fiPqgo4WM0iHEOnh7BEz0NqZeahIUJJVmgKODzp2krOqbpOpbwe7WUI7UHmK > > >>> 3LCNC9oMRybNuc+jrbHqFwT+tgQLTqpbHZuDVzKkBcxqPSj7hRvjLXAjkWNCzL7j > > >>> Yo4MySS6rzenuj9ZRSrQDSYfowRZyzPzMnmjkMbM7R7wpR5CL4U95LqOdMnce2IG > > >>> s/6iYcuUH8KqpG9NMy0U > > >>> =TnKW > > >>> -----END PGP SIGNATURE----- > > >>> _______________________________________________ > > >>> Computer-go mailing list > > >>> Computer-go@computer-go.org > > >>> http://computer-go.org/mailman/listinfo/computer-go > > >> > > >> > > >> > > >> _______________________________________________ > > >> Computer-go mailing list > > >> Computer-go@computer-go.org > > >> http://computer-go.org/mailman/listinfo/computer-go > > >_______________________________________________ > > >Computer-go mailing list > > >Computer-go@computer-go.org > > >http://computer-go.org/mailman/listinfo/computer-go > -- > Hideki Kato <mailto:hideki_ka...@ybb.ne.jp> > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go >
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