TY - CONF AB - Simple stochastic games are turn-based 2½-player games with a reachability objective. The basic question asks whether one player can ensure reaching a given target with at least a given probability. A natural extension is games with a conjunction of such conditions as objective. Despite a plethora of recent results on the analysis of systems with multiple objectives, the decidability of this basic problem remains open. In this paper, we present an algorithm approximating the Pareto frontier of the achievable values to a given precision. Moreover, it is an anytime algorithm, meaning it can be stopped at any time returning the current approximation and its error bound. AU - Ashok, Pranav AU - Chatterjee, Krishnendu AU - Kretinsky, Jan AU - Weininger, Maximilian AU - Winkler, Tobias ID - 7955 SN - 9781450371049 T2 - Proceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science TI - Approximating values of generalized-reachability stochastic games ER -