| Crossing the reality gap: A survey on sim-to-real transferability of robot controllers in reinforcement learning E Salvato, G Fenu, E Medvet, FA Pellegrino IEEE Access 9, 153171-153187, 2021 | 122 | 2021 |
| Basic reinforcement learning techniques to control the intensity of a seeded free-electron laser N Bruchon, G Fenu, G Gaio, M Lonza, FH O’Shea, FA Pellegrino, ... Electronics 9 (5), 781, 2020 | 44 | 2020 |
| Toward the application of reinforcement learning to the intensity control of a seeded free-electron laser N Bruchon, G Fenu, G Gaio, M Lonza, FA Pellegrino, E Salvato 2019 23rd International Conference on Mechatronics Technology (ICMT), 1-6, 2019 | 14 | 2019 |
| Udoo-based environmental monitoring system G Borrello, E Salvato, G Gugliandolo, Z Marinkovic, N Donato Applications in Electronics Pervading Industry, Environment and Society …, 2017 | 10 | 2017 |
| Model predictive control of glucose concentration based on signal temporal logic specifications F Cairoli, G Fenu, FA Pellegrino, E Salvato 2019 6th International Conference on Control, Decision and Information …, 2019 | 8 | 2019 |
| Closed-loop control from data-driven open-loop optimal control trajectories FA Pellegrino, F Blanchini, G Fenu, E Salvato 2022 European Control Conference (ECC), 1379-1384, 2022 | 6 | 2022 |
| Machine learning for computationally efficient electrical loads estimation in consumer washing machines V Casagrande, G Fenu, FA Pellegrino, G Pin, E Salvato, D Zorzenon Neural Computing and Applications 33 (22), 15159-15170, 2021 | 5 | 2021 |
| Model predictive control of glucose concentration based on signal temporal logic specifications with unknown-meals occurrence F Cairoli, G Fenu, FA Pellegrino, E Salvato Cybernetics and Systems 51 (4), 426-441, 2020 | 5 | 2020 |
| Data-driven dynamic relatively optimal control FA Pellegrino, F Blanchini, G Fenu, E Salvato European Journal of Control 74, 100839, 2023 | 4 | 2023 |
| Singularity avoidance for cart-mounted hand-guided collaborative robots: A variational approach E Salvato, W Vanzella, G Fenu, FA Pellegrino Robotics 11 (4), 79, 2022 | 4 | 2022 |
| Characterization of modeling errors affecting performances of a robotics deep reinforcement learning controller in a sim-to-real transfer E Salvato, G Fenu, E Medvet, FA Pellegrino 2021 44th International Convention on Information, Communication and …, 2021 | 4 | 2021 |
| An online iterative linear quadratic approach for a satisfactory working point attainment at FERMI N Bruchon, G Fenu, G Gaio, S Hirlander, M Lonza, FA Pellegrino, ... Information 12 (7), 262, 2021 | 4 | 2021 |
| Model-free feedback control synthesis from expert demonstration F Blanchini, F Dabbene, G Fenu, FA Pellegrino, E Salvato IEEE Control Systems Letters 7, 1604-1609, 2023 | 3 | 2023 |
| Free-electron laser optimization with reinforcement learning N Bruchon, G Fenu, G Gaio, M Lonza, FA Pellegrino, E Salvato 17th Int. Conf. on Acc. and Large Exp. Physics Control Systems, ICALEPCS2019, 2019 | 3 | 2019 |
| Control of a mixed autonomy signalised urban intersection: An action-delayed reinforcement learning approach E Salvato, A Ghosh, G Fenu, T Parisini 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 2 | 2021 |
| Loads estimation using deep learning techniques in consumer washing machines A Babichev, V Casagrande, L Della Schiava, G Fenu, I Fodor, E Marson, ... ICPRAM 2020-Proceedings of the 9th International Conference on Pattern …, 2020 | 1 | 2020 |
| Factors Impacting Landscape Ruggedness in Control Problems: a Case Study ME Saliby, E Medvet, G Nadizar, E Salvato, SL Thomson | | 2024 |
| Resilient Coverage by Teams of Quadrotor UAVs: Theory and Experiments H Rezaee, E Salvato, G Fenu, T Parisini IEEE Transactions on Control Systems Technology, 2024 | | 2024 |
| Linear Systems With Uncertain Complex Coefficients for AC Sensitivity Analysis D De Cecco, F Blanchini, D Casagrande, G Giordano, E Salvato IEEE Transactions on Circuits and Systems II: Express Briefs, 2024 | | 2024 |
| Evolutionary Machine Learning in Robotics E Medvet, G Nadizar, F Pigozzi, E Salvato Handbook of Evolutionary Machine Learning, 657-694, 2023 | | 2023 |
