4 papers
Towards Generalisable Imitation Learning Through Conditioned Transition Estimation and Online Behaviour Alignment
Nathan Gavenski, Matteo Leonetti, Odinaldo Rodrigues
State-of-the-art imitation learning from observation methods (ILfO) have recently made significant progress, but they still have some limitations: they need action-based supervised…
Realizable Abstractions: Near-Optimal Hierarchical Reinforcement Learning
Roberto Cipollone, Luca Iocchi, Matteo Leonetti
The main focus of Hierarchical Reinforcement Learning (HRL) is studying how large Markov Decision Processes (MDPs) can be more efficiently solved when addressed in a modular way, b…
Learning Social Heuristics for Human-Aware Path Planning
Andrea Eirale, Matteo Leonetti, Marcello Chiaberge
Social robotic navigation has been at the center of numerous studies in recent years. Most of the research has focused on driving the robotic agent along obstacle-free trajectories…
Imitation Learning for Adaptive Control of a Virtual Soft Exoglove
Shirui Lyu, Vittorio Caggiano, Matteo Leonetti +2
The use of wearable robots has been widely adopted in rehabilitation training for patients with hand motor impairments. However, the uniqueness of patients' muscle loss is often ov…