you can try to predict a future time steps how much real reward you're going to get so maybe you get rewards for eating an apple and so when you see an apple in the distance you should be able to predict that if you keep running forward for three more steps you'll get that Apple and so learning to predict that in three steps you gonna get that Apple is an auxilary loss that's introduced here and then elastic zero loss is value function replay so it's saying from the current time how much reward am I going to get over the next