| 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 | 183 | 2022 |
| 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 | 50 | 2013 |
| 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 | 44 | 2020 |
| 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 | 44 | 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 | 39 | 2015 |
| Efficient long-term mapping in dynamic environments MT Lázaro, R Capobianco, G Grisetti 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 25 | 2018 |
| 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 | 24 | 2015 |
| 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 | 21 | 2016 |
| 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 | 19 | 2013 |
| 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 | 13 | 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 ICAPS PRL Workshop, 2021 | 11 | 2021 |
| 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 | 11 | 2021 |
| Interactive Semantic Mapping: Experimental Evaluation G Gemignani, D Nardi, DD Bloisi, R Capobianco, L Iocchi International Symposium on Experimental Robotics, 2014 | 10 | 2014 |
| 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 | 9 | 2023 |
| 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 | 9 | 2018 |
| 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 | 9 | 2016 |
| 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 | 8 | 2016 |
| 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 | 7 | 2020 |
| 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 | 7 | 2016 |
| DOP: deep optimistic planning with approximate value function evaluation F Riccio, R Capobianco, D Nardi arXiv preprint arXiv:1803.08501, 2018 | 6 | 2018 |
Daniele NardiSapienza Univ. Roma, Dept. Computer, Control and Management EngineeringVerified email at dis.uniroma1.it
