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An estimator is Bayes if it minimizes the average risk R (, ) d ( ).
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Function minimax(node, depth, maximizingPlayer) is if depth 0 or node is a terminal node then return the heuristic value of node if maximizingPlayer then value : for each child of node do value : max(value, minimax(child, depth 1, false) return value else minimizing player value.
The name minimax arises because each player minimizes the maximum payoff possible for the othersince the game is zero-sum, they also minimize their own maximum loss (i.e.
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One approach is to treat this as a game against nature (see move by nature and using a similar mindset as Murphy's law or resistentialism, take an approach which minimizes the maximum expected loss, using the same techniques as in the two-person zero-sum games.