To train a binary logistic regression model, we used the delta rule to learn the weight of feature i using a training case j: ∆Wij = −ηxij yj (1 − yj )(tj − yj ), where η is the tunable learning rate. Please write down the delta rule for mini-batch gradient descent update assuming the size of mini-batch is n.

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Temporal difference learning

Temporal difference learning (TD learning) is a concept in machine learning that attributes to a class of model-free reinforcement learning methods. The technique predicts a reward or quantity depending on the future values of the value function.