Antonio Celani

According to our database, Antonio Celani authored at least 16 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Olfactory pursuit: catching a moving odor source in complex flows.

Maurizio Carbone, Lorenzo Piro, Robin A. Heinonen, Luca Biferale, Massimo Cencini, Antonio Celani

CoRR, April, 2026

2025

Information-directed sampling for bandits: a primer.

Annika Hirling, Giorgio Nicoletti, Antonio Celani

CoRR, December, 2025

Learning to flock in open space by avoiding collisions and staying together.

Martino Brambati, Antonio Celani, Marco Gherardi, Francesco Ginelli

CoRR, June, 2025

Enhancing collaboration in uncertain environment: Multi-Agent Reinforcement Learning for underwater monitoring.

Alberto Luvisutto, Antonio Celani, Federico Renda, Cesare Stefanini, Giulia De Masi

Expert Syst. Appl., 2025

2024

Harvesting energy from turbulent winds with Reinforcement Learning.

Lorenzo Basile, Maria Grazia Berni, Antonio Celani

CoRR, 2024

2023

Optimal tracking strategies in a turbulent flow.

Chiara Calascibetta, Luca Biferale, Francesco Borra, Antonio Celani, Massimo Cencini

CoRR, 2023

2022

Taming Lagrangian Chaos with Multi-Objective Reinforcement Learning.

Chiara Calascibetta, Luca Biferale, Francesco Borra, Antonio Celani, Massimo Cencini

CoRR, 2022

Optimal policies for Bayesian olfactory search in turbulent flows.

Robin A. Heinonen, Luca Biferale, Antonio Celani, Massimo Vergassola

CoRR, 2022

Optimizing Airborne Wind Energy with Reinforcement Learning.

Nicole Orzan, Claudio Leone, A. Mazzolini, J. Oyero, Antonio Celani

CoRR, 2022

2021

Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number.

Francesco Borra, Luca Biferale, Massimo Cencini, Antonio Celani

CoRR, 2021

2019

Learning to flock through reinforcement.

Mihir Durve, Fernando Peruani, Antonio Celani

CoRR, 2019

2018

Glider soaring via reinforcement learning in the field.

Gautam Reddy, Jérôme Wong-Ng, Antonio Celani, Terrence J. Sejnowski, Massimo Vergassola

Nat., 2018

2017

Finding Efficient Swimming Strategies in a Three Dimensional Chaotic Flow by Reinforcement Learning.

Kristian Gustavsson, Luca Biferale, Antonio Celani, Simona Colabrese

CoRR, 2017

Flow Navigation by Smart Microswimmers via Reinforcement Learning.

Simona Colabrese, Kristian Gustavsson, Antonio Celani, Luca Biferale

CoRR, 2017

2016

The Role of Adaptation in Bacterial Speed Races.

Jérôme Wong-Ng, Anna Melbinger, Antonio Celani, Massimo Vergassola

PLoS Comput. Biol., 2016

Infomax strategies for an optimal balance between exploration and exploitation.

Gautam Reddy, Antonio Celani, Massimo Vergassola

CoRR, 2016