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)

Design of herding autonomous agents via local control rules and global target selection strategies. - Fabrizia Auletta; Davide Fiore; Michael J. Richardson; Mario di Bernardo (CoRR, 2020)

Modeling and Understanding Future Action Decisions of Players during Online Gaming. - Fabrizia Auletta; Gaurav Patil; Rachel W. Kallen; Mario di Bernardo; Michael J. Richardson (HAI, 2022)

Herding stochastic autonomous agents via local control rules and online target selection strategies. - Fabrizia Auletta; Davide Fiore; Michael J. Richardson; Mario di Bernardo (Auton. Robots, 2022)

Predicting and Understanding Human Action Decisions during Skillful Joint-Action via Machine Learning and Explainable-AI. - Fabrizia Auletta; Rachel W. Kallen; Mario di Bernardo; Michael J. Richardson (CoRR, 2022)