Fill in the bubbles for ALL correct choices: there may be more than one correct choice, but there is always at least one correct choice. Which of the following are true for the k-nearest neighbor (k-NN) algorithm? A: k-NN can be used for both classification and regression. B: As k increases, the bias usually increases. C: The decision boundary looks smoother with smaller values of k. D: As k increases, the variance usually increases.

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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.