Re: Training an AlphaGo Zero-like algorithm with limited hardware on 7x7 boards
Rémi Coulom <[email protected]> Mon, 27 Jan 2020 21:11:26 +0100
| Newsgroups | gmane.games.devel.go |
|---|---|
| Message-ID | <CANs0NNWBwifyHRbmQeVWER1djHrKQ0aQ1oz7m9t9otJB0AHgmA@mail.gmail.com> |
--===============5204870962573890373== Content-Type: multipart/alternative; boundary="000000000000ec168f059d24b675" --000000000000ec168f059d24b675 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable Building an opening book is a good idea. I do it too. By the way, if anybody is interested, I have put a small 9x9 opening book online: https://www.crazy-sensei.com/book/go_9x9/ Evaluation is +1 for a win, -1 for a loss, for a komi of 7. It may not be very good, because evaluations was done by my 19x19 network. I have started to train a specialized 9x9 network last week, and it is already stronger. R=C3=A9mi --000000000000ec168f059d24b675 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><div>Building an opening book is a good idea. I do it too.= </div><div><br></div><div>By the way, if anybody is interested, I have put = a small 9x9 opening book online:</div><div><a href=3D"https://www.crazy-sen= sei.com/book/go_9x9/">https://www.crazy-sensei.com/book/go_9x9/</a></div><d= iv></div><div>Evaluation is +1 for a win, -1 for a loss, for a komi of 7. I= t may not be very good, because evaluations was done by my 19x19 network. I= have started to train a specialized 9x9 network last week, and it is alrea= dy stronger.</div><div><br></div><div>R=C3=A9mi<br></div></div> --000000000000ec168f059d24b675-- --===============5204870962573890373== Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline _______________________________________________ Computer-go mailing list [email protected] http://computer-go.org/mailman/listinfo/computer-go --===============5204870962573890373==--