Effective models and predictability of chaotic multiscale systems via machine learning. - Francesco Borra; Angelo Vulpiani; Massimo Cencini (CoRR, 2020)

Using machine-learning modelling to understand macroscopic dynamics in a system of coupled maps. - Francesco Borra; Marco Baldovin (CoRR, 2020)

Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number. - Francesco Borra; Luca Biferale; Massimo Cencini; Antonio Celani (CoRR, 2021)

Taming Lagrangian Chaos with Multi-Objective Reinforcement Learning. - Chiara Calascibetta; Luca Biferale; Francesco Borra; Antonio Celani; Massimo Cencini (CoRR, 2022)

Machine learning applications to dynamical and multi-agent systems. - Francesco Borra (2022)

Optimal tracking strategies in a turbulent flow. - Chiara Calascibetta; Luca Biferale; Francesco Borra; Antonio Celani; Massimo Cencini (CoRR, 2023)