Roberto Capobianco
Cited by
Cited by
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
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
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
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
Living with Robots: Interactive Environmental Knowledge Acquisition
G Gemignani, R Capobianco, E Bastianelli, DD Bloisi, L Iocchi, D Nardi
Robotics and Autonomous Systems, 2015
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
Efficient long-term mapping in dynamic environments
MT Lįzaro, R Capobianco, G Grisetti
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
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
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
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
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
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
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
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
Interactive Semantic Mapping: Experimental Evaluation
G Gemignani, D Nardi, DD Bloisi, R Capobianco, L Iocchi
International Symposium on Experimental Robotics, 2014
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
Q-CP: learning action values for cooperative planning
F Riccio, R Capobianco, D Nardi
2018 IEEE International Conference on Robotics and Automation (ICRA), 6469-6475, 2018
Prototype-based interpretable graph neural networks
A Ragno, B La Rosa, R Capobianco
IEEE Transactions on Artificial Intelligence, 2022
Learning Human-Robot Handovers Through π-STAM: Policy Improvement With Spatio-Temporal Affordance Maps
F Riccio, R Capobianco, D Nardi
arXiv preprint arXiv:1610.02609, 2016
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
The system can't perform the operation now. Try again later.
Articles 1–20