Crucially, Sutton’s examples for the value of "general methods" in lieu of human 
knowledge come from closed-ended domains, such as games, object classification, and 
speech recognition, whereas common-sense is open-ended. Winning at a game like Go 
is very different from interpreting and evaluating a news story or solving an 
unexpected planning problem in the real world word, like the Apollo 13 situation of 
figuring how to solve an air filter issue on an endangered spacecraft where the 
astronauts are quickly running out of air., a kind of one-off solution that seems well 
outside the scope of what  knowledge-free deep reinforcement learning might manage. 
When it comes to knowing where the dry cleaning has been left (as in the earlier 
example, Yesterday I dropped my clothes off at the dry cleaners and have yet to pick them up. 
Where are my clothes), you need an internal model of the world, and a way of updating
The Next Decade in AI-