everything and we give initial policies we give the task vector and now it's about deriving a good policy just from looking at the old policy so no learning as a baseline you have q learning which into a given direction um tells you basically how how long q learning or takes or how far q learning gets with a given amount of steps indicated by this one two three four and so on um yeah you see i think this is this is this in how far q learning gets with these amounts of steps is the dotted lines right here so q learning