learning they say look here um you have a bunch of tasks in your database that you've already learned on your agent is going out into the world it faces a new task it can use this thing you can use this thing to obtain a new good policy for that task it can then use reinforcement learning rl to refine that policy and then it can simply save that policy into the database so it keeps expanding and expanding this thing so it keeps adding rows and rows and rows right here of new policies that it's learned over the course of its life so