Roberto Capobianco

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Daniele NardiSapienza Univ. Roma, Dept. Computer, Control and Management EngineeringDirección de correo verificada de dis.uniroma1.it
Luca IocchiFull Professor - Sapienza University of Rome, ItalyDirección de correo verificada de diag.uniroma1.it
Guglielmo GemignaniMagazino GmbHDirección de correo verificada de magazino.eu
Emanuele BastianelliArtificial Intelligence Research Scientist, PhilipsDirección de correo verificada de philips.com
Biagio La RosaSapienza University of RomeDirección de correo verificada de diag.uniroma1.it
Varun Raj KompellaSony AIDirección de correo verificada de sony.com
Peter StoneProfessor of Computer Science, The University of Texas at AustinDirección de correo verificada de cs.utexas.edu
J. Andrew BagnellCarnegie Mellon UniversityDirección de correo verificada de ri.cmu.edu
Shreyansh DaftryNASA Jet Propulsion Laboratory | Caltech | Ex-CMU | Ex-TU GrazDirección de correo verificada de jpl.nasa.gov
Arun VenkatramanAurora Innovation / past: Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Jacopo SerafinPh.D. Student in Computer Engineering, Sapienza University of RomeDirección de correo verificada de dis.uniroma1.it
Byron BootsAssociate Professor, University of WashingtonDirección de correo verificada de cs.washington.edu
Wen SunAssistant Professor, Cornell UniversityDirección de correo verificada de cornell.edu
Andrea VanzoSenior Researcher, AssemblyAIDirección de correo verificada de assemblyai.com
Marc HanheideProfessor of Intelligent Robotics and Interactive Systems, University of LincolnDirección de correo verificada de hanheide.net

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Roberto Capobianco

Sapienza University of Rome - Sony AI

Dirección de correo verificada de diag.uniroma1.it - Página principal

Robotics Robot Learning Artificial Intelligence Reinforcement Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	300	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	55	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	49	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	48	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	41	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	30	2023
Efficient long-term mapping in dynamic environments MT Lázaro, R Capobianco, G Grisetti 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018	30	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	23	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	23	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	20	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	16	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	15	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	12	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	10	2016
Interactive Semantic Mapping: Experimental Evaluation G Gemignani, D Nardi, DD Bloisi, R Capobianco, L Iocchi International Symposium on Experimental Robotics, 2014	10	2014
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
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	8	2020
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
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	7	2023
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

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