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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.AI2026

Partner Capability Estimation for Task-Agnostic Adaptation in Ad-Hoc Teamwork

Peter Tisnikar, Maja Swieczkowska, Benteng Ma +2

The paper proposes a Bayesian method (CE-CM) for estimating hidden partner capabilities in multi‑task ad‑hoc teamwork, allowing agents to plan with decentralized execution and adap…

cs.LG2026

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…

cs.LG2025

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…

cs.RO2025

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…

cs.RO2025

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…