Author: Gian-Carlo Pascutto
Date: 02:35:32 01/07/01
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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? -- GCP
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