Author: Georg v. Zimmermann
Date: 08:18:21 07/27/01
Go up one level in this thread
I came up with a "new" idea. One main problem I see with self learning is that you need lots and lots of tests. Lets say you need 500 games to know if the adjustment really improved your eval, and you have (only !) 8 changing parameters ... So you could try to write endgame functions using self learning, since the changes can be tested much faster (you can test the change on 500 positions where the result is known through the Endgame-Tablebase). What do you think ? Regards, Georg
This page took 0 seconds to execute
Last modified: Thu, 15 Apr 21 08:11:13 -0700
Current Computer Chess Club Forums at Talkchess. This site by Sean Mintz.