Nimrod Megiddo
Discrete and Computational Geometry
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
Discrete and Computational Geometry
Daniela Pucci De Farias, Nimrod Megiddo
Journal of the ACM
Miklos Ajtai, Nimrod Megiddo
SIAM Journal on Computing
Daniela Pucci De Farias, Nimrod Megiddo
NeurIPS 2003