then during testing you freeze you freeze this network right here so you freeze the network and then you simply play that game and you see how well it does okay so this gives you some sort of reward and that's going to be your testing reward and you know that can be generalization it can be to different environments and so on but the crucial part is that you in train you learn and then you freeze during test in this in this particular paper right here they do something different so let's call that the hebbian plasticity world