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35
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ML
1998
ACM
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Machine Learning
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ML 1998
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Co-Evolution in the Successful Learning of Backgammon Strategy
13 years 11 months ago
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Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
Jordan B. Pollack, Alan D. Blair
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