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Extending the Sliding-step Technique of Stochastic Gradient Descent to Temporal Difference Learning
DownloadFall 2018
Stochastic gradient descent is at the heart of many recent advances in machine learning. In each of a series of steps, stochastic gradient descent processes an example and adjusts the weight vector in the direction that would most reduce the error for that example. A step-size parameter is used...
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