Author: Tor Alexander Lattimore
Date: 00:13:35 04/09/05
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Andrew Tridgell has written KnightCap, a program that uses temporal difference learning to learn it's evaluation weights. He and a number of others researched a variant of this that instead of looking at the actual game positions, it looks at the leaf positions at the end of the programs PV. You can check out his paper at http://cs.anu.edu.au/~Lex.Weaver/pub_sem/publications/ICML98-62.pdf I dabbled with his method, but sort of gave up in favour of a different (and easier to implement) method as below. My new program learns from positional test suites using a genetic algorithm. So far it's been fairly mixed success, but it can at least learn the positional weights to reasonable values that easily beats a version with only piece evaluations. Cheers Tor
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