Faster Algorithm for Mean-Payoff Games

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Authors	CHALOUPKA Jakub BRIM Luboš
Year of publication	2009
Type	Article in Proceedings
Conference	MEMICS 2009
MU Faculty or unit	Faculty of Informatics
Citation
Field	Informatics
Keywords	mean-payoff games; randomized algorithms; complexity
Description	We study some existing techniques for solving mean-payoff games (MPGs), improve them, and design a randomized algorithm for solving MPGs with currently the best expected complexity.
Related projects:	Highly Parallel and Distributed Computing Systems Verification and Analysis of Large-Scale Computer Systems