is kind of the analogous of your q function but it is not in terms of a single number the reward it is going to be in terms of these features which is an entire vector okay and because we've constructed this in a linear way you can also pretty clearly see that the q function is inherently related to the uh to the successor features you can obtain the q function by simply multiplying the successor features by your task vector w now a lot of you might be wondering where does this w come from and in our initial case we're