Nimrod Megiddo, Christos H. Papadimitriou
Theoretical Computer Science
This paper investigates the complexity of finding max-min strategies for finite two-person zero-sum games in the extensive form. The problem of determining whether a player with imperfect recall can guarantee himself a certain payoff is shown to be NP-hard. When both players have imperfect recall, this problem is even harder. Moreover, the max-min behavior strategy of such a player may use irrational numbers. Thus, for games with imperfect recall, computing the max-min strategy or the value of the game is a hard problem. For a game with perfect recall, we present an algorithm for computing a max-min behavior strategy, which runs in time polynomial in the size of the game tree. Journal of Economic Literature Classification Number: 026. © 1992.
Nimrod Megiddo, Christos H. Papadimitriou
Theoretical Computer Science
Nimrod Megiddo
Mathematical Programming
Adam J. Grove, Joseph Y. Halpern, et al.
STOC 1992
Daphne Koller, Nimrod Megiddo, et al.
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