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by Uri Zwick, Mike Paterson
Theoretical Computer Science
http://www.math.tau.ac.il/~zwick/MPG.ps.gz
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Abstract:
We study the complexity of finding the values and optimal strategies of mean payoff games on graphs, a family of perfect information games introduced by Ehrenfeucht and Mycielski and considered by Gurvich, Karzanov and Khachiyan. We describe a pseudo-polynomial time algorithm for the solution of such games, the decision problem for which is in NP " co-NP. Finally, we describe a polynomial reduction from mean payoff games to the simple stochastic games studied by Condon. These games are also known to be in NP " co-NP, but no polynomial or pseudo-polynomial time algorithm is known for them.
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