In simulated 2D turbulence, microswimmers trained with a Vicsek-style flocking action plus adversarial Q-learning reach a target more often than non-flocking smart swimmers in most parameter regimes tested.
We must consider two such matrices, namely, QSS and QSF , with ˆoSS := argmaxa∈ASS QSS (s, aSS ) or ˆoSF := argmaxa∈ASF QSF (s, aSF ) , (6) in Eq
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Can flocking aid the path planning of microswimmers in turbulent flows?
In simulated 2D turbulence, microswimmers trained with a Vicsek-style flocking action plus adversarial Q-learning reach a target more often than non-flocking smart swimmers in most parameter regimes tested.