Abstract
We study the complexity of finding the values and optimal strategies of mean payoff games, a family of perfect information games introduced by Ehrenfeucht and Mycielski. We describe a pseudopolynomial 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.
Supported in part by the ESPRIT Basic Research Action Programme of the EC under contract No. 7141 (project ALCOM II).
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© 1995 Springer-Verlag Berlin Heidelberg
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Zwick, U., Paterson, M.S. (1995). The complexity of mean payoff games. In: Du, DZ., Li, M. (eds) Computing and Combinatorics. COCOON 1995. Lecture Notes in Computer Science, vol 959. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030814
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DOI: https://doi.org/10.1007/BFb0030814
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