Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
sub-optimal for c_ϕ to be equal to f in terms of reducing the variance of the gradient estimator. Consider a Bernoulli random variable b parameterized by θ and a toy reward function: where t is a fixed target. We’ve gone back to θ denoting the probability b=1. Note that the solution to this problem