Thanks, I think you are spot on, Philippe. (And so i Theo)
Easy for me does not imply that it is easy for the neural network.
-Øystein
On Wed, Sep 23, 2020 at 10:27 PM Philippe Michel
wrote:
> On Wed, Sep 23, 2020 at 06:22:28PM +0200, Øystein Schønning-Johansen wrote:
>
> > I strongly believe
On Wed, Sep 23, 2020 at 06:22:28PM +0200, Øystein Schønning-Johansen wrote:
> I strongly believe that this is a pretty simple position to play
For a neural net this is not so clear. With 7 men stacked on the 7 point
this is a position that will never happen in real play and is unlikely
in
The 0ply sees a sure win for O with no gammons, and plays a random move
basically.
Let's hope the race net can be improved once again :) (maybe you can check
previous nets to see if that was always the case ...)
-Joseph
On Thu, 24 Sep 2020 at 06:51, Øystein Schønning-Johansen
wrote:
> Yes,
Yes, Theo, I think you might be right. I actually turned on game logging
and re-ran the rollout. I noticed that GNU Backgammon really plays the
bearin really really bad. Look at the attached games:
I just picked some games at random, and these two games really show awful
playing. Can anyone
2% seems more like the correct number. I think the first rollout is the
wrong one.
A naive analysis: X looks virtually certain to get a piece off within 5
rolls, which means that O has to win in 4 rolls for a gammon. Since O has
13 pieces left, this means O has to roll doubles in 3 of the
Hi all!
I'm trying to rollout a position as cubeless moneygame. I think I see a bug
in GNU Backgammon. So here is my position:
GNU Backgammon Position ID: 960BAMCw+0MAAA
Match ID : cAkA
+13-14-15-16-17-18--19-20-21-22-23-24-+ O: gnubg
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