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Optimal control of point-to-point navigation in turbulent time-dependent flows using Reinforcement Learning
In this case, we optimize a linear combination between the total navigation time and the total time the engine is switched off.
Paths to caustic formation in turbulent aerosols
The dynamics of small, yet heavy, identical particles in turbulence exhibits singularities, called caustics, that lead to large fluctuations in the spatial particle-number density, and in collision velocities.
Fluid Dynamics
Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning
To find the path that minimizes the time to navigate between two given points in a fluid flow is known as Zermelo's problem.
Flow Navigation by Smart Microswimmers via Reinforcement Learning
Smart active particles can acquire some limited knowledge of the fluid environment from simple mechanical cues and exert a control on their preferred steering direction.
