Francesco De Lellis

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Control Problems

Function Approximation

Reinforcement Learning

Unconstrained Optimization

Top Venues

IEEE Control. Syst. Lett.

Publications

Sara Maria Brancato, Davide Salzano, Francesco De Lellis, Davide Fiore, Giovanni Russo, Mario di Bernardo
In vivo learning-based control of microbial populations density in bioreactors. L4DC (2024)
Francesco De Lellis, Marco Coraggio, Nathan C. Foster, Riccardo Villa, Cristina Becchio, Mario di Bernardo
Data-driven architecture to encode information in the kinematics of robots and artificial avatars. CoRR (2024)
Antonio Grotta, Marco Coraggio, Antonio Spallone, Francesco De Lellis, Mario di Bernardo
Learning-based cognitive architecture for enhancing coordination in human groups. CoRR (2024)
Francesco De Lellis, Marco Coraggio, Nathan C. Foster, Riccardo Villa, Cristina Becchio, Mario di Bernardo
Data-Driven Architecture to Encode Information in the Kinematics of Robots and Artificial Avatars. IEEE Control. Syst. Lett. 8 (2024)
Sara Maria Brancato, Davide Salzano, Francesco De Lellis, Davide Fiore, Giovanni Russo, Mario di Bernardo
In vivo learning-based control of microbial populations density in bioreactors. CoRR (2023)
Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning. CoRR (2023)
Sara Maria Brancato, Francesco De Lellis, Davide Salzano, Giovanni Russo, Mario di Bernardo
External control of a genetic toggle switch via Reinforcement Learning. ECC (2023)
Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo
CT-DQN: Control-Tutored Deep Reinforcement Learning. L4DC (2023)
Sara Maria Brancato, Francesco De Lellis, Davide Salzano, Giovanni Russo, Mario di Bernardo
External control of a genetic toggle switch via Reinforcement Learning. CoRR (2022)
Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo
CT-DQN: Control-Tutored Deep Reinforcement Learning. CoRR (2022)
Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control. L4DC (2022)
Marco Coraggio, Shihao Xie, Francesco De Lellis, Giovanni Russo, Mario di Bernardo
Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization. CoRR (2021)
Marco Coraggio, Shihao Xie, Francesco De Lellis, Giovanni Russo, Mario di Bernardo
Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization. CDC (2021)
Francesco De Lellis, Marco Coraggio, Giovanni Russo, M. Musolesi, Mario di Bernardo
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control. CoRR (2021)
Francesco De Lellis, Giovanni Russo, Mario di Bernardo
Tutoring Reinforcement Learning via Feedback Control. ECC (2021)
Francesco De Lellis, Giovanni Russo, Mario di Bernardo
Tutoring Reinforcement Learning via Feedback Control. CoRR (2020)
Francesco De Lellis, Fabrizia Auletta, Giovanni Russo, Mario di Bernardo
Control-Tutored Reinforcement Learning: an application to the Herding Problem. CoRR (2019)
Francesco De Lellis, Fabrizia Auletta, Giovanni Russo, Pietro De Lellis, Mario di Bernardo
Control-Tutored Reinforcement Learning. CoRR (2019)