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Pursuit-Evasion Games with incomplete information in discrete time

机译:在离散时间内具有不完整信息的追逃游戏

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摘要

Pursuit-Evasion Games (in discrete time) are stochastic games with non-negative daily payoffs, with the final payoff being the cumulative sum of payoffs during the game. We show that such games admit a value even in the presence of incomplete information and that this value is uniform, i.e. there are ∈-optimal strategies for both players that are ∈-optimal in any long enough prefix of the game. We give an example to demonstrate that nonnegativity is essential and expand the results to Leavable Games.
机译:追踪逃避游戏(离散时间)是具有非负每日收益的随机游戏,最终收益是游戏期间收益的累积总和。我们证明,即使存在不完整的信息,此类博弈仍会接受一个值,并且该值是统一的,即在游戏的任何足够长的前缀中,对于两个玩家都有ε最优的策略。我们举一个例子说明非负性是必不可少的,并将结果扩展到Leavable Games。

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