Roberto Cipollone

12 papers A* 3B 2Journal 4Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Exploiting robot abstractions in episodic RL via reward shaping and heuristics.
Robotics Auton. Syst.
Roberto Cipollone, Marco Favorito, Flavio Maiorana, Giuseppe De Giacomo, Luca Iocchi, Fabio Patrizi
2025 A* conf
Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics.
ICLR
Ahana Deb, Roberto Cipollone, Anders Jonsson, Alessandro Ronca, Mohammad Sadegh Talebi
2025 J jnl
Realizable Abstractions: Near-Optimal Hierarchical Reinforcement Learning.
CoRR
Roberto Cipollone, Luca Iocchi, Matteo Leonetti
2024 — conf
Developing Targeted Communication through a Trust Factor in Multi-Agent Reinforcement Learning.
HHAI Workshops
Simone Di Rienzo, Francesco Frattolillo, Roberto Cipollone, Andrea Fanti, Nicolo' Brandizzi, Luca Iocchi
2024 — —
Markov representations: learning in MDP abstractions and non-Markovian environments.
Roberto Cipollone
2024 B conf
Modeling a Trust Factor in Composite Tasks for Multi-Agent Reinforcement Learning.
HAI
Giuseppe Contino, Roberto Cipollone, Francesco Frattolillo, Andrea Fanti, Nicolo' Brandizzi, Luca Iocchi
2024 J jnl
Tractable Offline Learning of Regular Decision Processes.
CoRR
Ahana Deb, Roberto Cipollone, Anders Jonsson, Alessandro Ronca, Mohammad Sadegh Talebi
2023 A* conf
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping.
AAAI
Roberto Cipollone, Giuseppe De Giacomo, Marco Favorito, Luca Iocchi, Fabio Patrizi
2023 J jnl
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping.
CoRR
Roberto Cipollone, Giuseppe De Giacomo, Marco Favorito, Luca Iocchi, Fabio Patrizi
2023 B conf
MULTITTRUST: 2nd Workshop on Multidisciplinary Perspectives on Human-AI Team Trust.
HAI
Nicolo' Brandizzi, Carolina Centeio Jorge, Roberto Cipollone, Francesco Frattolillo, Luca Iocchi, Anna-Sophie Ulfert-Blank
2023 A* conf
Provably Efficient Offline Reinforcement Learning in Regular Decision Processes.
NeurIPS
Roberto Cipollone, Anders Jonsson, Alessandro Ronca, Mohammad Sadegh Talebi
2023 — conf
Towards Computational Models for Reinforcement Learning in Human-AI Teams.
MULTITTRUST@HAI
Francesco Frattolillo, Nicolo' Brandizzi, Roberto Cipollone, Luca Iocchi