situations I don't know so is it this unknown thing about prediction and there's where solomonov comes in so what you do is in sequential decision jury it just replace the true distribution which we don't know by this Universal distribution I didn't expect a talk about it but this is used for universal prediction and plug it into the sequential decision mechanism and then you get the best of both worlds you have a long-term planning agent but it doesn't need to know anything about the world because the Solomon reduction part