Deep Neural Network policy learning with mathematical foundations. Policy Gradient Methods Policy Parameterization Policy $\pi_\theta(a|s)$ parameterized by neural network with weights $\theta$. Objective Function Maximize expected return: $$ J(\theta) = \mathbb{E}{\tau \sim \pi\theta}\left[\sum_{t=0}^{T} \gamma^t …