Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
minimizing variance does better than having c_ϕ equal f. Gradient for learning the surrogate function. Here ĝ is the gradient, or derivative respect to θ of the expected reward f(b). I apologize for the change in notation but θ now refers to the parameters of the policy network rather than the