Short term vs. long term: Optimization of microswimmer navigation on different time horizons

We use reinforcement learning to find strategies that allow microswimmers in turbulence to avoid regions of large strain. This question is motivated by the hypothesis that swimming microorganisms tend to avoid such regions to minimize the risk of predation. We ask which local cues a microswimmer mus...

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Bibliographic Details
Main Authors: N. Mousavi, J. Qiu, L. Zhao, B. Mehlig, K. Gustavsson
Format: Article
Language:English
Published: American Physical Society 2025-03-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.7.013258
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