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In this paper we consider random walks moving in a dynamic random environment that is completely resampled with probability after each step of the random walker. This resampling yields a straightforward regeneration structure and limit theorems, such as a law of large numbers with a limiting speed that depends on . We investigate several properties of as a function of , such as differentiability and monotonicity. Similarily, we study the limiting diffusivity in a central limit theorem.

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