Efficient collective swimming by harnessing vortices through deep reinforcement learning

Fish in schooling formations navigate complex flow fields replete with mechanical energy in the vortex wakes of their companions. Their schooling behavior has been associated with evolutionary advantages including energy savings, yet the underlying physical mechanisms remain unknown. We show that fi...

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Veröffentlicht in:	Proceedings of the National Academy of Sciences - PNAS Jg. 115; H. 23; S. 5849
Hauptverfasser:	Verma, Siddhartha, Novati, Guido, Koumoutsakos, Petros
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 05.06.2018
Schlagworte:	Animals Behavior, Animal - physiology Biomechanical Phenomena Computer Simulation Fishes - physiology Learning - physiology Models, Biological Reinforcement, Psychology Spatial Navigation - physiology Swimming - physiology energy harvesting deep reinforcement learning autonomous navigation recurrent neural networks fish schooling
ISSN:	1091-6490, 1091-6490
Online-Zugang:	Weitere Angaben
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