2009 | OriginalPaper | Buchkapitel
New Results on Simple Stochastic Games
verfasst von : Decheng Dai, Rong Ge
Erschienen in: Algorithms and Computation
Verlag: Springer Berlin Heidelberg
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We study the problem of solving simple stochastic games, and give both an interesting new algorithm and a hardness result. We show a reduction from fine approximation of simple stochastic games to coarse approximation of a polynomial sized game, which can be viewed as an evidence showing the hardness to approximate the value of simple stochastic games. We also present a randomized algorithm that runs in
${\tilde{O}}(\sqrt{|V_{\mbox{R}}|!})$
time, where
$|V_{\mbox{R}}|$
is the number of RANDOM vertices and
${\tilde{O}}$
ignores polynomial terms. This algorithm is the fastest known algorithm when
$|V_{\mbox{R}}| = \omega(\log n)$
and
$|V_{\mbox{R}}| = o(\sqrt{\min{|V_{\mbox{min}}|, |V_{\mbox{max}}|}})$
and it works for general (non-stopping) simple stochastic games.