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Robust equilibria in mean-payoff games

Abstract:
We study the problem of finding robust equilibria in multiplayer concurrent games with mean payoff objectives. A (k, t)-robust equilibrium is a strategy profile such that no coalition of size k can improve the payoff of one its member by deviating, and no coalition of size t can decrease the payoff of other players. While deciding whether there exists such equilibria is undecidable in general, we suggest algorithms for two meaningful restrictions on the complexity of strategies. The first restriction concerns memory. We show that we can reduce the problem of the existence of a memoryless robust equilibrium to a formula in the (existential) theory of reals. The second restriction concerns randomisation. We suggest a general transformation from multiplayer games to two-player games such that pure equilibria in the first game correspond to winning strategies in the second one. Thanks to this transformation, we show that the existence of robust equilibria can be decided in polynomial space, and that the decision problem is PSPACE-complete.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-662-49630-5_13

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author


Publisher:
Springer, Berlin, Heidelberg
Host title:
International Conference on Foundations of Software Science and Computation Structures: FoSSaCS 2016
Volume:
9634
Pages:
217-233
Series:
Lecture Notes in Computer Science
Publication date:
2016-01-01
Acceptance date:
2015-12-18
DOI:
ISSN:
0302-9743
ISBN:
9783662496299


Pubs id:
pubs:606343
UUID:
uuid:97282fa9-0954-4768-b203-13af7cf0981a
Local pid:
pubs:606343
Source identifiers:
606343
Deposit date:
2016-02-26
ARK identifier:

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