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Publication details
Determinacy in Stochastic Games with Unbounded Payoff Functions
Authors | |
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Year of publication | 2013 |
Type | Article in Proceedings |
Conference | Mathematical and Engineering Methods in Computer Science (MEMICS 2012) |
MU Faculty or unit | |
Citation | |
web | http://arxiv.org/abs/1208.1639 |
Doi | http://dx.doi.org/10.1007/978-3-642-36046-6_10 |
Field | Informatics |
Keywords | game theory; graph games; determinacy |
Description | We consider infinite-state turn-based stochastic games of two play- ers who aim at maximizing and minimizing the expected total reward accumulated along a run, respectively. Since the total accumulated reward is unbounded, the determinacy of such games cannot be deduced directly from Martin’s determinacy result for Blackwell games. We show that these games are determined both for unrestricted (i.e., history-dependent and randomized) strategies and deterministic strategies, and the equilibrium value is the same. Further, we show that these games are generally not determined for memoryless strategies, unless we restrict ourselves to some special classes of games. We also examine the existence and type of (epsilon-)optimal strategies for both players. |
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