care about and be able to learn the real task more quickly so what are these auxiliary tasks the first one is auxilary q functions so the idea here is you're given additional heads to the neural network that are q functions a q function is predicting for the current situation how much you work well I get in the future if I currently take a specific action so for each possible action I'll predict how much reward might I get now the interesting thing about Q function learning is that you can do Q function learning of policy