Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
that a well optimized c_ϕ can lead to a gradient estimator with lower variance than the Reparameterization trick estimator. Here is the LAX algorithm: If b is Gaussian for example, then reparameterized sampler would use a normal random variable. We update the policy and surrogate networks