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Gait switching and targeted navigation of microswimmers via deep reinforcement learning

Engineering and Technology

Gait switching and targeted navigation of microswimmers via deep reinforcement learning

Z. Zou, Y. Liu, et al.

This exciting research led by Zonghao Zou, Yuexin Liu, Y.-N. Young, On Shun Pak, and Alan C. H. Tsang showcases how deep reinforcement learning empowers a model microswimmer to develop adaptive locomotory gaits for efficient navigation. The findings reveal its potential for complex fluid environments, promising innovative applications.

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