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Re: [Bug-gnubg] New build of GNU Backgammon for Windows available!

From: Joseph Heled
Subject: Re: [Bug-gnubg] New build of GNU Backgammon for Windows available!
Date: Sat, 16 Oct 2004 12:42:24 +1300
User-agent: Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.7) Gecko/20040616

Zero ply rollouts should not be affected in any way!!! if they are, something is wrong. Please post a reproducible case, with a smaller n as possible, full setting, and seed ...


address@hidden wrote:
> I installed the pruning net over your new windows archive and basic
> evaluations seem to work (and much faster!) but I got bad results from a
> rollout of a match cube bearoff position.  The evaluation was correct at
> 57% game winning chances, but in the rollout GNU was getting something
> like 80% wins....very strange.
> Also when setting the rollout to use 0-ply it always says "beginner"
> instead of expert, not that it really matters.
> On Wed, 13 Oct 2004 01:28:24 +0200
>  Øystein Johansen <address@hidden> wrote:
If you read this it will save you and me for a lot of trouble!

Joseph has commited his smaller pruning neural nets to the main part of
GNU Backgammon! That's good news. Really good news!

If you use Windows as you operating system, and want to try this, you
should try it from http://www.gnubg.org/index.php?itemid=28

If you want to try it you *must* first get and install the installation
here: http://www.gnubg.org/downloadwin.php

Don't try with one of my old packages, because that won't work!

You *should* install the prune neural net archive into the same
directory. Some files in your install directory will be overwritten.
These files are: gnubg.exe, gnubg-no-gui.exe and gnubg.wd. It can be
smart to backup these files.

You can also read the article I just wrote about this fantastic
improvment to GNU Backgammon. http://www.gnubg.org/index.php?itemid=28

Note the buttom line warning!

Good Luck!

PS: Rolf, amarganth, you should get this build, since the python module
contains the two new methods: gnubg.cfevaluate() and gnubg.findbestmove()
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