247 citations · 3.5k across the 64 of their papers we have counts for
10 papers · 1 filter
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 policies for Bayesian olfactory search in turbulent flows
Robin A. Heinonen, Luca Biferale, Antonio Celani +1
In many practical scenarios, a flying insect must search for the source of an emitted cue which is advected by the atmospheric wind. On the macroscopic scales of interest, turbulen…
Optimizing Airborne Wind Energy with Reinforcement Learning
N. Orzan, C. Leone, A. Mazzolini +2
Airborne Wind Energy is a lightweight technology that allows power extraction from the wind using airborne devices such as kites and gliders, where the airfoil orientation can be d…
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…
Finding Efficient Swimming Strategies in a Three Dimensional Chaotic Flow by Reinforcement Learning
K. Gustavsson, L. Biferale, A. Celani +1
We apply a reinforcement learning algorithm to show how smart particles can learn approximately optimal strategies to navigate in complex flows. In this paper we consider microswim…