Optimizing low-Reynolds-number predation via optimal control and reinforcement learning
We seek the best stroke sequences of a finite-size swimming predator chasing a non-motile point or finite-size prey at low Reynolds number. We use optimal control to seek the globally optimal solutions for the former and reinforcement learning (RL) for general situations. The predator is represented...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |