Author: Will Singleton
Date: 22:25:02 08/18/99
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On August 18, 1999 at 20:40:33, Scott Gasch wrote: >On August 18, 1999 at 19:26:27, Dave Gomboc wrote: > >[snip] >> >>Tell us the name of your program too! How long have you been working on it? >> >>Dave > >My program has no name yet... I've been working on it for the past couple of >months (with help from y'all). It's a PVS w/ null move, killers, history, >transposition tables on a 0x88 board representation. I am thinking about >calling it "darkhorse" once it gets better. Right now it is just called "chess" >:) > >I am reasonably satisfied with the search speed and tree size. I've contained >the massive branching in the qeval by using a SEE. My two major goals in the >short term are to get extensions working without a big speed sacrifice and to >improve the evaluation routine. I need to work on an opening book too. > >Speaking of eval routines: has anyone ever done any genetic programming to learn >the values of the eval routine? I was thinking of randomly coming up with eval >term coeficients and having the computer play itself. Then the winner survives >and the loser dies... This way I can hone in on "better" eval routines via >natural selection... anyone done anything like this? > >I'll post some samples of the extension explosion when I get home. > >Scott Let me know when you get it up and running on ICC. Some folks are reticent about doing that, but it really helps tune the old eval (as well as find bugs). I like the name Darkhorse, except that it makes me think of dark horse stuff ;-) (sorry). As for learning eval params, there has been a lot of work in this area. Check out the TDChess page, or ask Jon Baxter, or look at some ICCAJ's, or check the links in the resource center here. TD learning seems better suited to backgammon, but who knows? Anyways, there's a ton of research on the subject, knock yourself out. Will
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