and now you're given a new w w new in our case it's this one negative one and we want the best action so we are in state s we are given this w we want the best action now here is a method where we can simply calculate the best action in terms by by not reinforcement learning at all in this new task so by structuring things like this here so what does it really say here it this thing says we are going to evaluate all of these different cells of this tensor right here so we're going to determine what is the successor feature