On 2/21/07, George Stephanopoulos <[EMAIL PROTECTED]> wrote:
Hi all , just subscribed. I would like to contribute to the development of gnubg. I am particularly interested in the neural net engine. I would like to know what is the current state of affairs regarding the neural nets. How can we improve on the current nets? (0.15, i am running the very latest 0.16-mingw-20070219 build recently posted) I have googled and found an old page by Joseph describing some of the techniques he used to train gnubg. But what is the current state? Do we have a data set of rollouts or 2-ply evaluations from the 0.15 weights version?. In general i would like to start the subject on this mailing list, i presume there are a lot of ideas but i don't know where we are currently and what work has been done already.
I don't know of any significant advancements. The methods I developed seemed to have reached their limit of usefulness, as more iterations don't produce a better net. (typically worse). There is one known weakness of gnubg when it plays (or defends) deep backgames. This turns to be a very hard problem. I tried several times to attack this with no real success.
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