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Roberto Capobianco
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Outracing champion Gran Turismo drivers with deep reinforcement learning
PR Wurman, S Barrett, K Kawamoto, J MacGlashan, K Subramanian, ...
Nature 602 (7896), 223-228, 2022
4772022
Reinforcement learning for optimization of COVID-19 mitigation policies
V Kompella, R Capobianco, S Jong, J Browne, S Fox, L Meyers, ...
arXiv preprint arXiv:2010.10560, 2020
672020
State of the art of visual analytics for explainable deep learning
B La Rosa, G Blasilli, R Bourqui, D Auber, G Santucci, R Capobianco, ...
Computer Graphics Forum 42 (1), 319-355, 2023
652023
On-line semantic mapping
E Bastianelli, DD Bloisi, R Capobianco, F Cossu, G Gemignani, L Iocchi, ...
2013 16th International Conference on Advanced Robotics (ICAR), 1-6, 2013
542013
Improved Learning of Dynamics Models for Control
A Venkatraman, R Capobianco, L Pinto, M Hebert, D Nardi, JA Bagnell
International Symposium on Experimental Robotics, 2016
522016
Living with Robots: Interactive Environmental Knowledge Acquisition
G Gemignani, R Capobianco, E Bastianelli, DD Bloisi, L Iocchi, D Nardi
Robotics and Autonomous Systems, 2015
472015
Efficient long-term mapping in dynamic environments
MT Lįzaro, R Capobianco, G Grisetti
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
372018
Automatic extraction of structural representations of environments
R Capobianco, G Gemignani, DD Bloisi, D Nardi, L Iocchi
Intelligent Autonomous Systems 13: Proceedings of the 13th International …, 2016
242016
Autonomous planetary landing via deep reinforcement learning and transfer learning
G Ciabatti, S Daftry, R Capobianco
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
232021
A Proposal for Semantic Map Representation and Evaluation
R Capobianco, J Serafin, J Dichtl, G Grisetti, L Iocchi, D Nardi
Proceedings of the 7th European Conference on Mobile Robots (ECMR), 2015
232015
Agent-based Markov modeling for improved COVID-19 mitigation policies
R Capobianco, V Kompella, J Ault, G Sharon, S Jong, S Fox, L Meyers, ...
Journal of Artificial Intelligence Research 71, 953-992, 2021
202021
Knowledge representation for robots through human-robot interaction
E Bastianelli, D Bloisi, R Capobianco, G Gemignani, L Iocchi, D Nardi
arXiv preprint arXiv:1307.7351, 2013
202013
Prototype-based interpretable graph neural networks
A Ragno, B La Rosa, R Capobianco
IEEE Transactions on Artificial Intelligence 5 (4), 1486-1495, 2022
182022
Learning a symbolic planning domain through the interaction with continuous environments
E Umili, E Antonioni, F Riccio, R Capobianco, D Nardi, G De Giacomo
Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning …, 2021
152021
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening
M Proietti, A Ragno, BL Rosa, R Ragno, R Capobianco
Machine Learning 113 (4), 2013-2044, 2024
132024
An overview of environmental features that impact deep reinforcement learning in sparse-reward domains
JMC Ocana, R Capobianco, D Nardi
Journal of Artificial Intelligence Research 76, 1181-1218, 2023
112023
Cooperative Multi-Agent Deep Reinforcement Learning in Soccer Domains.
JMC Ocana, F Riccio, R Capobianco, D Nardi
AAMAS, 1865-1867, 2019
112019
A self-interpretable module for deep image classification on small data
B La Rosa, R Capobianco, D Nardi
Applied Intelligence 53 (8), 9115-9147, 2023
102023
Explainable Inference on Sequential Data via Memory-Tracking
B La Rosa, R Capobianco, D Nardi
Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020
102020
Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies
F Riccio, R Capobianco, D Nardi
Proceedings of the 20th International RoboCup Symposium, 2016
102016
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Articles 1–20