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Simplifying optimal strategies in limsup and liminf stochastic games

机译:简化LIMSUP和Liminf随机游戏中的最佳策略

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We consider two-player zero-sum stochastic games with the limsup and with the liminf payoffs. For the limsup payoff, we prove that the existence of an optimal strategy implies the existence of a stationary optimal strategy. Our construction does not require the knowledge of an optimal strategy, only its existence. The main technique of the proof is to analyze the game with specific restricted action spaces. For the liminf payoff, we prove that the existence of a subgame-optimal strategy (i.e. a strategy that is optimal in every subgame) implies the existence of a subgame-optimal strategy under which the prescribed mixed actions only depend on the current state and on the state and the actions chosen at the previous period. In particular, such a strategy requires only finite memory. The proof relies on techniques that originate in gambling theory. (C) 2018 Elsevier B.V. All rights reserved.
机译:我们考虑使用LIMSUP和Liminf回报的双人零和随机游戏。 对于LIMSUP回报,我们证明了最佳策略的存在意味着存在静止的最佳策略。 我们的施工不需要了解最佳策略,只有其存在。 证明的主要技术是分析与特定限制的动作空间的游戏。 对于Liminf的回报,我们证明存在子轨道最佳策略(即每个子栏中最佳的策略)意味着存在的子轨最优策略,规定的混合动作仅取决于当前状态和开关 该州和前期选择的行动。 特别地,这种策略只需要有限的记忆。 证明依赖于源自赌博理论的技术。 (c)2018 Elsevier B.v.保留所有权利。

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