Title
Games through Nested Fixpoints
Abstract
In this paper we consider two-player zero-sum payoff games on finite graphs, both in the deterministic as well as in the stochastic setting. In the deterministic setting, we consider total-payoff games which have been introduced as a refinement of mean-payoff games [10, 18]. In the stochastic setting, our class is a turn-based variant of liminf-payoff games [4, 15, 16]. In both settings, we provide a non-trivial characterization of the values through nested fixpoint equations. The characterization of the values of liminf-payoff games moreover shows that solving liminf-payoff games is polynomial-time reducible to solving stochastic parity games. We construct practical algorithms for solving the occurring nested fixpoint equations based on strategy iteration. As a corollary we obtain that solving deterministic total-payoff games and solving stochastic liminf-payoff games is in UP *** co*** UP.
Year
DOI
Venue
2009
10.1007/978-3-642-02658-4_24
CAV
Keywords
Field
DocType
non-trivial characterization,stochastic liminf-payoff game,deterministic setting,deterministic total-payoff game,stochastic parity game,total-payoff game,liminf-payoff game,nested fixpoints,nested fixpoint,stochastic setting,nested fixpoint equation,polynomial time
Hierarchical control system,Graph,Mathematical optimization,Algebra,Computer science,Theoretical computer science,Optimality equation,Fixed point,Corollary,Stochastic game
Conference
Volume
ISSN
Citations 
5643
0302-9743
4
PageRank 
References 
Authors
0.41
11
2
Name
Order
Citations
PageRank
Thomas Martin Gawlitza1886.37
Helmut Seidl21468103.61