Qualitative Determinacy and Decidability of Stochastic Games with Signals

N. Bertrand, B. Genest, H. Gimbert
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引用次数: 63

Abstract

We consider the standard model of finite two-person zero-sum stochastic games with signals. We are interested in the existence of almost-surely winning or positively winning strategies, under reachability, safety, Buchi or co-Buchi winning objectives. We prove two qualitative determinacy results. First, in a reachability game either player $1$ can achieve almost-surely the reachability objective, or player 2 can ensure surely the complementary safety objective, or both players have positively winning strategies. Second, in a Buchi game if player 1 cannot achieve almost-surely the Buchi objective, then player 2 can ensure positively the complementary co-Buchi objective. We prove that players only need strategies with finite-memory, whose sizes range from no memory at all to doubly-exponential number of states, with matching lower bounds. Together with the qualitative determinacy results, we also provide fix-point algorithms for deciding which player has an almost-surely winning or a positively winning strategy and for computing the finite memory strategy. Complexity ranges from EXPTIME to 2-EXPTIME with matching lower bounds, and better complexity can be achieved for some special cases where one of the players is better informed than her opponent.
带有信号的随机对策的定性确定性和可判决性
我们考虑了有限的带有信号的二人零和随机对策的标准模型。我们感兴趣的是在可达性、安全性、布吉或共同布吉获胜目标下,几乎肯定会获胜或肯定会获胜的策略的存在。我们证明了两个定性的确定性结果。首先,在可达性博弈中,玩家1可以几乎肯定地实现可达性目标,或者玩家2可以肯定地确保互补安全目标,或者两个玩家都有积极的获胜策略。其次,在Buchi博弈中,如果玩家1不能几乎肯定地实现Buchi目标,那么玩家2可以肯定地确保互补的共同Buchi目标。我们证明玩家只需要有限内存的策略,其大小范围从完全没有内存到双指数状态数,具有匹配的下界。与定性确定性结果一起,我们还提供了定点算法,用于确定哪个玩家具有几乎肯定获胜或积极获胜的策略,并用于计算有限记忆策略。复杂度范围从EXPTIME到2-EXPTIME,具有匹配的下限,并且在某些特殊情况下,其中一个玩家比她的对手更了解情况,可以实现更好的复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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