Checkers and Machine Learning

Someone at stack overflow asked for advice about Machine Learning for checkers. Here is my response:

You might want to take a look at the following: Chinook, Upper Confidence Trees, Reinforcement Learning, and Alpha-Beta pruning.  I personally like to combine Alpha-Beta Pruning and Upper Confidence Trees (UCT) for perfect information games where each player has less than 10 reasonable moves.  You can use Temporal Difference Learning to create a position evaluation function.  Game AI is probably the funnest way to learn machine learning.


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