Masakazu Kojima, Nimrod Megiddo, et al.
Mathematical Programming
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.
Masakazu Kojima, Nimrod Megiddo, et al.
Mathematical Programming
Moritz Hardt, Nimrod Megiddo, et al.
ITCS 2016
Noga Alon, Nimrod Megiddo
Journal of the ACM (JACM)
Masakazu Kojima, Nimrod Megiddo
Linear Algebra and Its Applications