Machine Learning, Aritificial Intelligence, Data Science, Programming, Deep Learning.
unnormalized importance sampling. If q is easier to sample, we win as long as we know how to compute the corresponding p(x). If f(x) is already calculated in previous iterations with distribution q, we win again, which is happening in some Reinforcement learning methods. To have the lowest variance