Control-Tutored Reinforcement Learning: an application to the Herding Problem. - Francesco De Lellis; Fabrizia Auletta; Giovanni Russo 002; Mario di Bernardo (CoRR, 2019)

Control-Tutored Reinforcement Learning. - Francesco De Lellis; Fabrizia Auletta; Giovanni Russo 002; Pietro De Lellis; Mario di Bernardo (CoRR, 2019)

Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization. - Marco Coraggio; Shihao Xie; Francesco De Lellis; Giovanni Russo 002; Mario di Bernardo (CDC, 2021)

Tutoring Reinforcement Learning via Feedback Control. - Francesco De Lellis; Giovanni Russo 002; Mario di Bernardo (ECC, 2021)

Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control. - Francesco De Lellis; Marco Coraggio; Giovanni Russo 002; Mirco Musolesi; Mario di Bernardo (L4DC, 2022)

CT-DQN: Control-Tutored Deep Reinforcement Learning. - Francesco De Lellis; Marco Coraggio; Giovanni Russo 001; Mirco Musolesi; Mario di Bernardo (CoRR, 2022)

External control of a genetic toggle switch via Reinforcement Learning. - Sara Maria Brancato; Francesco De Lellis; Davide Salzano; Giovanni Russo 002; Mario di Bernardo (ECC, 2023)

CT-DQN: Control-Tutored Deep Reinforcement Learning. - Francesco De Lellis; Marco Coraggio; Giovanni Russo 002; Mirco Musolesi; Mario di Bernardo (L4DC, 2023)

In vivo learning-based control of microbial populations density in bioreactors. - Sara Maria Brancato; Davide Salzano; Francesco De Lellis; Davide Fiore; Giovanni Russo 002; Mario di Bernardo (L4DC, 2024)

Learning-based cognitive architecture for enhancing coordination in human groups. - Antonio Grotta; Marco Coraggio; Antonio Spallone; Francesco De Lellis; Mario di Bernardo (CoRR, 2024)

Emergent Cooperative Strategies for Multi-Agent Shepherding via Reinforcement Learning. - Italo Napolitano; Andrea Lama; Francesco De Lellis; Mario di Bernardo (CoRR, 2024)

Data-Driven Architecture to Encode Information in the Kinematics of Robots and Artificial Avatars. - Francesco De Lellis; Marco Coraggio; Nathan C. Foster; Riccardo Villa; Cristina Becchio; Mario di Bernardo (IEEE Control. Syst. Lett., 2024)

Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning. - Francesco De Lellis; Marco Coraggio; Giovanni Russo 002; Mirco Musolesi; Mario di Bernardo (IEEE Trans. Control. Syst. Technol., 2024)

Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets. - Stefano Covone; Italo Napolitano; Francesco De Lellis; Mario di Bernardo (CoRR, 2025)

Online Phase Estimation of Human Oscillatory Motions using Deep Learning. - Antonio Grotta; Francesco De Lellis (CoRR, 2025)

Breaking the mould of Social Mixed Reality - State-of-the-Art and Glossary. - 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; et al. (CoRR, 2025)