action you should take now you have here a q function with respect to every single policy but you can simply take the max right so the max across all of this will determine um will determine so you could take the max across all the policies which will give you the q function for a particular action over all policies that you consider and then you can simply take the arg max of that and determine the action you should take okay so it's a pretty big evaluation but if you do this that means you don't have to do reinforcement learning on