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FSTTCS
2010
Springer

Generalized Mean-payoff and Energy Games

11 years 7 months ago
Generalized Mean-payoff and Energy Games
In mean-payoff games, the objective of the protagonist is to ensure that the limit average of an infinite sequence of numeric weights is nonnegative. In energy games, the objective is to ensure that the running sum of weights is always nonnegative. Generalized mean-payoff and energy games replace individual weights by tuples, and the limit average (resp. running sum) of each coordinate must be (resp. remain) nonnegative. These games have applications in the synthesis of resource-bounded processes with multiple resources. We prove the finite-memory determinacy of generalized energy games and show the interreducibility of generalized mean-payoff and energy games for finite-memory strategies. We also improve the computational complexity for solving both classes of games with finite-memory strategies: while the previously best known upper bound was EXPSPACE, and no lower bound was known, we give an optimal coNP-complete bound. For memoryless strategies, we show that the problem of decidin...
Krishnendu Chatterjee, Laurent Doyen, Thomas A. He
Added 11 Feb 2011
Updated 11 Feb 2011
Type Journal
Year 2010
Where FSTTCS
Authors Krishnendu Chatterjee, Laurent Doyen, Thomas A. Henzinger, Jean-François Raskin
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