Given the potential DS advantages listed above (most of them related to partial observability), it may seem that the more ambitious the goals of some RL researcher, the more he/she will get drawn towards methods for DS in spaces of fairly general algorithms, as opposed to the more limited DPRL-based approaches.
Standard DS does suffer from major disadvantages, though, as I will point out later for the case of realistic, stochastic worlds.