okay ah here policy evaluation policy improvement these are the two steps so the first step is calculate the queue function the second step is to select an action and you can see how these things interlock namely we can calculate the q function of a given policy and we can improve that policy by selecting whatever action is best for the q function this paper generalizes this and you can see that there is a little a little r right here so the r is just a specific way to reference the reward function used right here okay and