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On Equilibria in Quantitative Games with Reachability/Safety Objectives

机译:具有可达性/安全性目标的定量博弈中的均衡

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In this paper, we study turn-based multiplayer quantitative non zero-sum games played on finite graphs with reachability objectives. In this framework each player aims at reaching his own goal as soon as possible. We focus on existence results for two solution concepts: Nash equilibrium and secure equilibrium. We prove the existence of finite-memory Nash (resp. secure) equilibria in n -player (resp. 2-player) games. For the case of Nash equilibria, we extend our result in two directions. First, we show that finite-memory Nash equilibria still exist when the model is enriched by allowing n-tuples of positive costs on edges (one cost by player). Secondly, we prove the existence of Nash equilibria in quantitative games with both reachability and safety objectives.
机译:在本文中,我们研究了在具有可达性目标的有限图中玩回合制多人定量非零和游戏。在这种框架下,每个玩家都致力于尽快实现自己的目标。我们关注两个解决方案概念的存在结果:纳什均衡和安全均衡。我们证明了n玩家(分别为2玩家)游戏中存在有限内存Nash(相对安全)均衡。对于纳什均衡,我们将结果扩展到两个方向。首先,我们证明了当通过允许n元组边上的正成本(玩家的一项成本)来丰富模型时,有限内存的纳什均衡仍然存在。其次,我们证明了具有可及性和安全性目标的定量博弈中纳什均衡的存在。

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