moving average for my key encoder and they test on two different things they test on the deepmind control tasks and they always test 100 K time steps so their big point is data efficiency right they they claim they can use learn useful representations with not much data so the task is here how good are you at one 100 cases that time steps right so you don't you don't optimize until the end you just you get 100k time steps and then the question is how how good are you and the curl here outperforms all of the baselines handily in the deep mind