5 citations · 5 across the 6 of their papers we have counts for
6 papers
Partner Capability Estimation for Task-Agnostic Adaptation in Ad-Hoc Teamwork
Peter Tisnikar, Maja Swieczkowska, Benteng Ma +2
Effective collaboration with novel and diverse partners is a crucial skill for autonomous agents. Most current ad-hoc teamwork (AHT) approaches assume that agents will collaborate…
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…
Learning Social Cost Functions for Human-Aware Path Planning
Andrea Eirale, Matteo Leonetti, Marcello Chiaberge
Achieving social acceptance is one of the main goals of Social Robotic Navigation. Despite this topic has received increasing interest in recent years, most of the research has foc…