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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| 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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