Re: [Computer-go] Learning related stuff

2017-11-23 Thread Xavier Combelle
Le 21/11/2017 à 23:27, "Ingo Althöfer" a écrit : > Hi Erik, > >> No need for AlphaGo hardware to find out; any >> toy problem will suffice to explore different >> initialization schemes... > I know that. > > My intention with the question is a different one: > I am thinking how humans are lea

Re: [Computer-go] Learning related stuff

2017-11-23 Thread David Doshay
In my experience people who are first taught variant a) and after a short while move on to b) remain overly fixated on capturing and are much slower to grasp the real game. So in this case I would argue that people really do have trouble unlearning when the games are too close … particularly whe

[Computer-go] A very interesting interview

2017-11-23 Thread Ingo Althöfer
Hi all, currently a big duel in computer chess is taking place, with Komodo and Houdini playing a 100-games match. There was an in-depth interview with the programmers (Mark Lefler and Larry Kaufman from Komodo, Robert Houdart from Houdini; Nelson Hernandez being the moderator). Buit is a long re

Re: [Computer-go] Learning related stuff

2017-11-23 Thread Ingo Althöfer
Hello Stephan, > Another option for your experiment might be to take the 72-hour-old > network, but only retain the first layers, and initialize randomly the > last layers. yes, or many others. Not all of them have to be fantastic, but when you/we get some experience and have a new try every 3 o

Re: [Computer-go] Learning related stuff

2017-11-23 Thread Stephan K
2017-11-22 15:17 UTC+01:00, "Ingo Althöfer" <3-hirn-ver...@gmx.de>: > For instance, with respect to the 72-hour run of AlphaGo Zero > one might start several runs for Go(with komi=5.5), > the first one starting from fresh, the second one from the > 72-hour process after 1 hour, the next one after 2