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Adding Negative Prices to Priced Timed Games

机译:在定时游戏中增加负价

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Priced timed games (PTGs) are two-player zero-sum games played on the infinite graph of configurations of priced timed automata where two players take turns to choose transitions in order to optimize cost to reach target states. Bouyer et al. and Alur, Bernadsky, and Mad-husudan independently proposed algorithms to solve PTGs with non-negative prices under certain divergence restriction over prices. Brihaye, Bruyere, and Raskin later provided a justification for such a restriction by showing the undecidability of the optimal strategy synthesis problem in the absence of this divergence restriction. This problem for PTGs with one clock has long been conjectured to be in polynomial time, however the current best known algorithm, by Hansen, Ibsen-Jensen, and Mil-tersen, is exponential. We extend this picture by studying PTGs with both negative and positive prices. We refine the undecidability results for optimal strategy synthesis problem, and show undecidability for several variants of optimal reachability cost objectives including reachability cost, time-bounded reachability cost, and repeated reachability cost objectives. We also identify a subclass with bi-valued price-rates and give a pseudo-polynomial (polynomial when prices are nonnegative) algorithm to partially answer the conjecture on the complexity of one-clock PTGs.
机译:定价定时游戏(PTG)是在定价定时自动机配置的无限图上玩的两人零和游戏,其中两名玩家轮流选择转换,以优化达到目标状态的成本。 Bouyer等。 Alur,Bernadsky和Mad-husudan独立提出了在价格存在一定差异限制的情况下以非负价格解决PTG的算法。 Brihaye,Bruyere和Raskin后来通过在没有这种差异限制的情况下显示出最佳策略综合问题的不确定性,为这种限制提供了理由。对于一个时钟的PTG,这个问题早就被认为是多项式时间,但是,由Hansen,Ibsen-Jensen和Mil-tersen所采用的当前最著名的算法是指数级的。我们通过研究具有负价格和正价格的PTG来扩展此图。我们优化了最优策略综合问题的不确定性结果,并显示了最佳可达性成本目标的多个变体的不确定性,包括可达性成本,限时可达性成本和重复可达性成本目标。我们还确定了一个具有双值价格率的子类,并给出了一个伪多项式(价格为非负数时的多项式)算法来部分回答关于一时钟PTG复杂性的猜想。

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