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From: | Aaron Tikuisis |
Subject: | Re: The status of gnubg? |
Date: | Mon, 19 Oct 2020 13:10:52 +0000 |
That is interesting, I did not realize that gnubg misplays race positions much. What are some examples?
From: Øystein Schønning-Johansen <oysteijo@gmail.com>
Sent: October 19, 2020 3:20 AM To: Joseph Heled <jheled@gmail.com> Cc: Philippe Michel <philippe.michel7@free.fr>; Aaron Tikuisis <Aaron.Tikuisis@uottawa.ca>; bug-gnubg@gnu.org <bug-gnubg@gnu.org> Subject: Re: The status of gnubg? Attention : courriel externe | external email
On Mon, Oct 19, 2020 at 12:02 AM Joseph Heled <jheled@gmail.com> wrote:
Yes! I can confirm that.
Oh, yes! For many years I had the impression that the race neural network was close to perfect, and didn't care much to look into it. I now realize that there are many positions that are actually misplayed. So, I'm currently trying to find better methods
for evaluating race position. It is possible to calculate some positions exactly to the bitter end with simple dynamic programming, however that is way too slow, it is also possible to estimate winning probabilities using the Central Limit Theorem for Renewal
Processes. That is superfast, however worse than the current neural network, I guess. The problem is to find the sweet spot between what is feasible from a time (and memory) consuming point of view and the precision of the evaluation.
I'm in the phase of setting up a more detailed simulation on these different methods, such that I do have some numbers for comparison.
-Øystein
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