Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
around this by adding a third term with the same expected gradient as the baseline back in. The comparison with RL will be made more clear in a bit. Looking at the equation for LAX, we see that it only optimizes the parameters of the policy network. The question still remains as to how we want to