Francesco De Lellis

29 papers B 1Journal 20Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A bioreactor-based architecture for in vivo model-based and sim-to-real learning control of microbial consortium composition.
CoRR
Sara Maria Brancato, Davide Salzano, Davide Fiore, Francesco De Lellis, Giovanni Russo, Mario di Bernardo
2025 J jnl
Adaptive Optimal Control for Avatar-Guided Motor Rehabilitation in Virtual Reality.
CoRR
Francesco De Lellis, Maria Lombardi, Egidio De Benedetto, Pasquale Arpaia, Mario di Bernardo
2025 J jnl
Breaking the mould of Social Mixed Reality - State-of-the-Art and Glossary.
CoRR
Marta Bienkiewicz, Julia Ayache, Panayiotis Charalambous, Cristina Becchio, Marco Corragio, Bertram Taetz, Francesco De Lellis, Antonio Grotta, Anna Server, Daniel Rammer, Richard Kulpa, Franck Multon, Azucena García-Palacios, Jessica Sutherland, Kathleen Bryson, Stéphane Donikian, Didier Stricker, Benoît G. Bardy
2025 — conf
Emergent Cooperative Strategies for Multi-Agent Shepherding via Reinforcement Learning.
ECC
Italo Napolitano, Andrea Lama, Francesco De Lellis, Mario di Bernardo
2025 J jnl
Hierarchical Learning-Based Control for Multi-Agent Shepherding of Stochastic Autonomous Agents.
CoRR
Italo Napolitano, Stefano Covone, Andrea Lama, Francesco De Lellis, Mario di Bernardo
2025 — conf
Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets.
CDC
Stefano Covone, Italo Napolitano, Francesco De Lellis, Mario di Bernardo
2025 J jnl
Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets.
CoRR
Stefano Covone, Italo Napolitano, Francesco De Lellis, Mario di Bernardo
2025 B conf
Online Phase Estimation of Human Oscillatory Motions using Deep Learning.
SMC
Antonio Grotta, Francesco De Lellis
2025 J jnl
Online Phase Estimation of Human Oscillatory Motions using Deep Learning.
CoRR
Antonio Grotta, Francesco De Lellis
2024 J jnl
Data-Driven Architecture to Encode Information in the Kinematics of Robots and Artificial Avatars.
IEEE Control. Syst. Lett.
Francesco De Lellis, Marco Coraggio, Nathan C. Foster, Riccardo Villa, Cristina Becchio, Mario di Bernardo
2024 J jnl
Data-driven architecture to encode information in the kinematics of robots and artificial avatars.
CoRR
Francesco De Lellis, Marco Coraggio, Nathan C. Foster, Riccardo Villa, Cristina Becchio, Mario di Bernardo
2024 J jnl
Emergent Cooperative Strategies for Multi-Agent Shepherding via Reinforcement Learning.
CoRR
Italo Napolitano, Andrea Lama, Francesco De Lellis, Mario di Bernardo
2024 J jnl
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning.
IEEE Trans. Control. Syst. Technol.
Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo
2024 — conf
In vivo learning-based control of microbial populations density in bioreactors.
L4DC
Sara Maria Brancato, Davide Salzano, Francesco De Lellis, Davide Fiore, Giovanni Russo, Mario di Bernardo
2024 J jnl
Learning-based cognitive architecture for enhancing coordination in human groups.
CoRR
Antonio Grotta, Marco Coraggio, Antonio Spallone, Francesco De Lellis, Mario di Bernardo
2023 — conf
CT-DQN: Control-Tutored Deep Reinforcement Learning.
L4DC
Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo
2023 — conf
External control of a genetic toggle switch via Reinforcement Learning.
ECC
Sara Maria Brancato, Francesco De Lellis, Davide Salzano, Giovanni Russo, Mario di Bernardo
2023 J jnl
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning.
CoRR
Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo
2023 J jnl
In vivo learning-based control of microbial populations density in bioreactors.
CoRR
Sara Maria Brancato, Davide Salzano, Francesco De Lellis, Davide Fiore, Giovanni Russo, Mario di Bernardo
2022 J jnl
CT-DQN: Control-Tutored Deep Reinforcement Learning.
CoRR
Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo
2022 — conf
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control.
L4DC
Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo
2022 J jnl
External control of a genetic toggle switch via Reinforcement Learning.
CoRR
Sara Maria Brancato, Francesco De Lellis, Davide Salzano, Giovanni Russo, Mario di Bernardo
2021 J jnl
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control.
CoRR
Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo
2021 — conf
Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization.
CDC
Marco Coraggio, Shihao Xie, Francesco De Lellis, Giovanni Russo, Mario di Bernardo
2021 J jnl
Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization.
CoRR
Marco Coraggio, Shihao Xie, Francesco De Lellis, Giovanni Russo, Mario di Bernardo
2021 — conf
Tutoring Reinforcement Learning via Feedback Control.
ECC
Francesco De Lellis, Giovanni Russo, Mario di Bernardo
2020 J jnl
Tutoring Reinforcement Learning via Feedback Control.
CoRR
Francesco De Lellis, Giovanni Russo, Mario di Bernardo
2019 J jnl
Control-Tutored Reinforcement Learning.
CoRR
Francesco De Lellis, Fabrizia Auletta, Giovanni Russo, Pietro De Lellis, Mario di Bernardo
2019 J jnl
Control-Tutored Reinforcement Learning: an application to the Herding Problem.
CoRR
Francesco De Lellis, Fabrizia Auletta, Giovanni Russo, Mario di Bernardo