Author: Bas Hamstra
Date: 08:42:16 01/07/01
Go up one level in this thread
On January 07, 2001 at 05:35:32, Gian-Carlo Pascutto wrote: >On January 06, 2001 at 17:17:06, Bas Hamstra wrote: > >> >>One additional advantage is that when learning from losses only, you don't have >>to deal with blunders that distort learning. The computer makes no (tactical) >>blunders. And a blundering opponent will not win against a computer. This (I >>suspect) increases the probality that IF it learns something, it will be >>something useful. > >One of the papers I have read (I think the KnightCap one) had >a comparisaion with SAL, and the authors concluded that only >learning from losses caused the eval function to grade every >position as a loss. > >You're not seeing that effect? No, not at all. But I remember that they noted that if you lose ALL the games learning performs bad, you don't refer to that? Bas.
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