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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
2612022
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
522020
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
502013
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
482016
Living with Robots: Interactive Environmental Knowledge Acquisition
G Gemignani, R Capobianco, E Bastianelli, DD Bloisi, L Iocchi, D Nardi
Robotics and Autonomous Systems, 2015
402015
Efficient long-term mapping in dynamic environments
MT Lázaro, R Capobianco, G Grisetti
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
292018
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
242015
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
232023
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
222016
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
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
152021
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
142021
Learning a symbolic planning domain through the interaction with continuous environments
E Umili, E Antonioni, F Riccio, R Capobianco, D Nardi, G De Giacomo
ICAPS PRL Workshop, 2021
122021
Interactive Semantic Mapping: Experimental Evaluation
G Gemignani, D Nardi, DD Bloisi, R Capobianco, L Iocchi
International Symposium on Experimental Robotics, 2014
102014
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
92018
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
92016
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
82020
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
82016
Learning to Smooth with Bidirectional Predictive State Inference Machines
W Sun, R Capobianco, G Gordon, J Bagnell, B Boots
Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence …, 2016
72016
Grounding LTLf specifications in images
E Umili, R Capobianco, G De Giacomo
Proceedings of the 16th International Workshop on Neural-Symbolic Learning …, 2022
62022
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