2 questions about GnuBG

Hello, My Operating system is Xubuntu 18.04 My first question is : what is the difference between  1.06.001 and 1.06.002 ? Second question : I compiled 1.06.002 and installed it but there was no sound despite all the wAV files

Re: Backgammon "solved"?

No, the question is fair enough. You just have to apply the FIBS rating formula when you have estimated a winning probability of the strongest player. -Ø On Thu, Dec 5, 2019 at 11:02 PM Theodore Hwa wrote: > That's not really a fair question. The point is, both GNUBG/XG and a > "perfect bot" ar

Re: Backgammon "solved"?

That's not really a fair question. The point is, both GNUBG/XG and a "perfect bot" are so far above my level, they might as well be the same thing. You are essentially asking to subtract 2 big numbers to get a small number, which only gives a meaningful answer if the big numbers are able to be

Backgammon "solved"?

(Just out of curiosity) A question to you people who think bots play close to a perfect game: What do you believe is the difference between GNUB/XG etc and a "perfect bot". Say in a 25 point match. Answers in Elo difference please :) Thanks, Joseph

Re: current development

Hi Nikos, As far as I can see, there is no public repository of Palamedes code. What would it take to be able to play Palamedes vs. GNUBG programmatically?? that is, millions or games/matches. Don't you agree it will be very interesting to see what happens, and we can both learn from the results?

Re: current development

This info is very interesting! Let me share some preliminary attempts at "modernizing" the training of Palamedes so far. They may be of use to GNUBG and others trying something similar. Note all these tries were done using a RL self-play style of training similar to those described in my research

"upgrade" your existing supervised learning approach

aybe we > could > > have a system like BOINQ to do rollouts on the fly? I'm not sure how this > > should be used in a practical sense, and I'm not sure how hard it would > be > > to implement (with or without BOINQ framework) but I'm just kind of > > brainstormin

Re: current development

On Thu, 5 Dec 2019, Nikos Papachristou wrote: My personal view on improving GNUBG: Why not try to "upgrade" your existing supervised learning approach? There have been lots of advances in optimization/regularization algorithms for neural networks in the past years and it might be less demanding

Re: current development

I have tried some experiments, and it looks like the training dataset (for contact positions) with the current input features, do indeed like some of the more modern methods. Briefly summarized: Things that improves supervised learning on the dataset: * Deeper nets, 5-6 hidden layers combined with

Re: current development

Hi everybody! You can view my research publications on backgammon variants at my website: https://nikpapa.com , or alternatively you can download my PhD thesis from: https://www.didaktorika.gr/eadd/handle/10442/43622?locale=en My personal view on improving GNUBG: Why not try to "upgrade" your exi