41 citations · 97 across the 5 of their papers we have counts for
5 papers
Optimal tracking strategies in a turbulent flow
Chiara Calascibetta, Luca Biferale, Francesco Borra +2
Pursuing a drifting target in a turbulent flow is an extremely difficult task whenever the searcher has limited propulsion and maneuvering capabilities. Even in the case when the r…
Taming Lagrangian Chaos with Multi-Objective Reinforcement Learning
Chiara Calascibetta, Luca Biferale, Francesco Borra +2
We consider the problem of two active particles in 2D complex flows with the multi-objective goals of minimizing both the dispersion rate and the energy consumption of the pair. We…
Optimal collision avoidance in swarms of active Brownian particles
Francesco Borra, Massimo Cencini, Antonio Celani
The effectiveness of collective navigation of biological or artificial agents requires to accommodate for contrasting requirements, such as staying in a group while avoiding close…
Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number
Francesco Borra, Luca Biferale, Massimo Cencini +1
We consider a model of two competing microswimming agents engaged in a pursue-evasion task within a low-Reynolds-number environment. Agents can only perform simple maneuvers and se…
Effective models and predictability of chaotic multiscale systems via machine learning
Francesco Borra, Angelo Vulpiani, Massimo Cencini
We scrutinize the use of machine learning, based on reservoir computing, to build data-driven effective models of multiscale chaotic systems. We show that, for a wide scale separat…