Is the philosophy between Bellman equations and minimax the same?
Both the algorithms look at the full horizon and take into account potential gains (Bellman) and potential losses (minimax).
However, do the two differ besides the obvious on the fact that Bellman equations use discounted potential rewards, while minimax deals with potential losses without the discount? Are these enough to say they are similar in philosophy or is are they dissimilar? If so, then in what sense?