Continuous-time stochastic games with time-bounded reachability
2013
We study continuous-time stochastic games with time-bounded reachability objectives and time-abstract strategies. We show that each vertex in such a game has a (i.e., an equilibrium probability), and we classify the conditions under which optimal strategies exist. Further, we show how to compute -optimal strategies in finite games and provide detailed complexity estimations. Moreover, we show how to compute -optimal strategies in infinite games with finite branching and bounded rates where the bound as well as the successors of a given state are effectively computable. Finally, we show how to compute optimal strategies in finite uniform games.
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