at if you compare two methods one where you directly learn the weights you learn a fixed policy to solve you know this is one task right this is one task and all of these three things appear with equal probability so you have to learn one policy to make all of this work if you learn the weights directly and um you don't have a power like there's no doubt that like a powerful rl approach could deal with this task but if in this case if you just put a standard weight learner with this same number of the same size of policy as the hebian