modular how you how you fit this in it simply comes up with good representations so that is that is basically a deal here right and you hope that the whole procedure of this contrastive learning then gives you good representation of this anchor thing here if you encode that to the queue you hope that this representation now is a good representation as a basis for the RL algorithm and it turns out at least in their experiments it is so here you see the same thing they actually they do something more where in RL usually deal