I have one of Richard Sutton's books, and RL methods are useful but I also have some reservations about them. Often in this sort of approach a strict behaviorist position is adopted where the system is simply trying to find an appropriate function mapping inputs to outputs. The internals of the system are usually treated as a black box with a homogenous structure, and it's this zero architecture or trivial architecture approach which can make the learning problem exceptionally hard.
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