45 citations · 115 across the 15 of their papers we have counts for
15 papers
Vision-Based Dribbling for Humanoid Soccer via Privileged Representation Learning
Flavio Maiorana, Valerio Spagnoli, Eugenio Bugli +5
Recent advances in humanoid robotics have highlighted the importance of deployable loco-manipulation skills. Dribbling a soccer ball while evading active opponents requires simulta…
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping
Roberto Cipollone, Giuseppe De Giacomo, Marco Favorito +2
One major limitation to the applicability of Reinforcement Learning (RL) to many practical domains is the large number of samples required to learn an optimal policy. To address th…
Image Classification with Small Datasets: Overview and Benchmark
L. Brigato, B. Barz, L. Iocchi +1
Image classification with small datasets has been an active research area in the recent past. However, as research in this scope is still in its infancy, two key ingredients are mi…
A Hierarchical Framework for Collaborative Artificial Intelligence
James L. Crowley, Joëlle L Coutaz, Jasmin Grosinger +5
We propose a hierarchical framework for collaborative intelligent systems. This framework organizes research challenges based on the nature of the collaborative activity and the in…
On some Foundational Aspects of Human-Centered Artificial Intelligence
Luciano Serafini, Raul Barbosa, Jasmin Grosinger +9
The burgeoning of AI has prompted recommendations that AI techniques should be "human-centered". However, there is no clear definition of what is meant by Human Centered Artificial…
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets
Lorenzo Brigato, Luca Iocchi
Deep neural networks represent the gold standard for image classification. However, they usually need large amounts of data to reach superior performance. In this work, we focus on…
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge
Björn Barz, Lorenzo Brigato, Luca Iocchi +1
Learning from limited amounts of data is the hallmark of intelligence, requiring strong generalization and abstraction skills. In a machine learning context, data-efficient methods…
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Lorenzo Brigato, Björn Barz, Luca Iocchi +1
Data-efficient image classification using deep neural networks in settings, where only small amounts of labeled data are available, has been an active research area in the recent p…
RLupus: Cooperation through emergent communication in The Werewolf social deduction game
Nicolo' Brandizzi, Davide Grossi, Luca Iocchi
This paper focuses on the emergence of communication to support cooperation in environments modeled as social deduction games (SDG), that are games where players communicate freely…
A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless Systems
Damiano Brunori, Stefania Colonnese, Francesca Cuomo +1
We design a multi-purpose environment for autonomous UAVs offering different communication services in a variety of application contexts (e.g., wireless mobile connectivity service…
A Close Look at Deep Learning with Small Data
L. Brigato, L. Iocchi
In this work, we perform a wide variety of experiments with different deep learning architectures on datasets of limited size. According to our study, we show that model complexity…
Proceedings of the AI-HRI Symposium at AAAI-FSS 2018
Kalesha Bullard, Nick DePalma, Richard G. Freedman +6
The goal of the Interactive Learning for Artificial Intelligence (AI) for Human-Robot Interaction (HRI) symposium is to bring together the large community of researchers working on…
Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specifications
Giuseppe De Giacomo, Luca Iocchi, Marco Favorito +1
In this work we investigate on the concept of "restraining bolt", envisioned in Science Fiction. Specifically we introduce a novel problem in AI. We have two distinct sets of featu…
A Proposal for Semantic Map Representation and Evaluation
Roberto Capobianco, Jacopo Serafin, Johann Dichtl +3
Semantic mapping is the incremental process of "mapping" relevant information of the world (i.e., spatial information, temporal events, agents and actions) to a formal description…
Knowledge Representation for Robots through Human-Robot Interaction
Emanuele Bastianelli, Domenico Bloisi, Roberto Capobianco +3
The representation of the knowledge needed by a robot to perform complex tasks is restricted by the limitations of perception. One possible way of overcoming this situation and des…