reinforcement learning the Markov assumption is that the the next state or next observation only depends on the on the previous observation and not the whole history which makes of course the mathematics much easier rather than dealing with histories of course their profit from it also because then you have algorithms which run on current computers and do something practically useful for generally re all the assumptions which are made by other approaches we know already now they are limiting so for instance usually you need a go