Exploiting Multiple Abstractions in Episodic RL via Reward Shaping. - Roberto Cipollone 002; Giuseppe De Giacomo; Marco Favorito; Luca Iocchi; Fabio Patrizi (AAAI, 2023)

MULTITTRUST: 2nd Workshop on Multidisciplinary Perspectives on Human-AI Team Trust. - Nicolo' Brandizzi; Carolina Centeio Jorge; Roberto Cipollone 002; Francesco Frattolillo; Luca Iocchi; Anna-Sophie Ulfert-Blank (HAI, 2023)

Towards Computational Models for Reinforcement Learning in Human-AI Teams. - Francesco Frattolillo; Nicolo' Brandizzi; Roberto Cipollone 002; Luca Iocchi (MULTITTRUST@HAI, 2023)

Provably Efficient Offline Reinforcement Learning in Regular Decision Processes. - Roberto Cipollone 002; Anders Jonsson 001; Alessandro Ronca; Mohammad Sadegh Talebi (NeurIPS, 2023)

Modeling a Trust Factor in Composite Tasks for Multi-Agent Reinforcement Learning. - Giuseppe Contino; Roberto Cipollone 002; Francesco Frattolillo; Andrea Fanti 001; Nicolo' Brandizzi; Luca Iocchi (HAI, 2024)

Developing Targeted Communication through a Trust Factor in Multi-Agent Reinforcement Learning. - Simone Di Rienzo; Francesco Frattolillo; Roberto Cipollone 002; Andrea Fanti 001; Nicolo' Brandizzi; Luca Iocchi (HHAI Workshops, 2024)

Tractable Offline Learning of Regular Decision Processes. - Ahana Deb; Roberto Cipollone 002; Anders Jonsson 001; Alessandro Ronca; Mohammad Sadegh Talebi (CoRR, 2024)

Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics. - Ahana Deb; Roberto Cipollone 002; Anders Jonsson 001; Alessandro Ronca; Mohammad Sadegh Talebi (ICLR, 2025)

Exploiting robot abstractions in episodic RL via reward shaping and heuristics. - Roberto Cipollone 002; Marco Favorito; Flavio Maiorana; Giuseppe De Giacomo; Luca Iocchi; Fabio Patrizi (Robotics Auton. Syst., 2025)