meaning you can try to solve one task but in the meantime do Q learning against the other task that has a different reward function and that's the key idea here we're gonna take reward functions that are not the ones we care about that are auxiliary reward functions that are easy to automatically extract from the environment and the Q&A against those who word functions and by doing so the core structure the core of the neural net will learn things that are also useful for the task we actually care about okay