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Im implementing the game playing learning algorithm and the weights are getting bigger and bigger in absolute value. What is happening?

April 26, 2017ALGORITHM Bigger implementing learning playing value weights

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Im implementing the game playing learning algorithm and the weights are getting bigger and bigger in absolute value. What is happening?

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There is an error in the LMS rule given in the text book which is causing this. Assume that there are n attributes (and so n+1 weights). Let Z = x_0 + x_1 + x_2 + … + x_n where x_0=1. This is a normalization factor that is very important.