| Adaptive low-level control of autonomous underwater vehicles using deep reinforcement learning I Carlucho, M De Paula, S Wang, Y Petillot, GG Acosta Robotics and Autonomous Systems 107, 71-86, 2018 | 156 | 2018 |
| Incremental Q-learning strategy for adaptive PID control of mobile robots I Carlucho, M De Paula, SA Villar, GG Acosta Expert Systems with Applications 80, 183-199, 2017 | 112 | 2017 |
| An adaptive deep reinforcement learning approach for MIMO PID control of mobile robots I Carlucho, M De Paula, GG Acosta ISA transactions 102, 280-294, 2020 | 107 | 2020 |
| Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids L Avila, M De Paula, M Trimboli, I Carlucho Applied Soft Computing 97, 106711, 2020 | 64 | 2020 |
| Double Q-PID algorithm for mobile robot control I Carlucho, M De Paula, GG Acosta Expert Systems with Applications 137, 292-307, 2019 | 53 | 2019 |
| AUV position tracking control using end-to-end deep reinforcement learning I Carlucho, M De Paula, S Wang, BV Menna, YR Petillot, GG Acosta OCEANS 2018 MTS/IEEE Charleston, 1-8, 2018 | 50 | 2018 |
| Controlling blood glucose variability under uncertainty using reinforcement learning and Gaussian processes M De Paula, LO Avila, EC Martinez Applied Soft Computing 35, 310-332, 2015 | 45 | 2015 |
| Trajectory tracking algorithm for autonomous vehicles using adaptive reinforcement learning M De Paula, GG Acosta OCEANS 2015-MTS/IEEE Washington, 1-8, 2015 | 38 | 2015 |
| On-line policy learning and adaptation for real-time personalization of an artificial pancreas M De Paula, GG Acosta, EC Martínez Expert Systems with Applications 42 (4), 2234-2255, 2015 | 28 | 2015 |
| MPPT for PV systems using deep reinforcement learning algorithms L Avila, M De Paula, I Carlucho, CS Reinoso IEEE Latin America Transactions 17 (12), 2020-2027, 2019 | 25 | 2019 |
| Photovoltaic inverters optimisation CRS Reinoso, M De Paula, DH Milone, RH Buitrago Energy Procedia 14, 1484-1489, 2012 | 20 | 2012 |
| A framework for acoustic segmentation using order statistic-constant false alarm rate in two dimensions from sidescan sonar data SA Villar, M De Paula, FJ Solari, GG Acosta IEEE Journal of Oceanic Engineering 43 (3), 735-748, 2017 | 17 | 2017 |
| Comparison of a PID controller versus a LQG controller for an autonomous underwater vehicle I Carlucho, B Menna, M De Paula, GG Acosta 2016 3rd IEEE/OES South American International Symposium on Oceanic …, 2016 | 16 | 2016 |
| ROS-based architecture for fast digital twin development of smart manufacturing robotized systems C Saavedra Sueldo, I Perez Colo, M De Paula, SA Villar, GG Acosta Annals of Operations Research 322 (1), 75-99, 2023 | 14 | 2023 |
| Cost–benefit analysis of a photovoltaic power plant CRS Reinoso, M De Paula, RH Buitrago international journal of hydrogen energy 39 (16), 8708-8711, 2014 | 11 | 2014 |
| Probabilistic optimal control of blood glucose under uncertainty M De Paula, E Martinez Computer Aided Chemical Engineering 30, 1357-1361, 2012 | 10 | 2012 |
| Prediction of the hydrodynamic coefficients of an autonomous underwater vehicle A Petit, C Paulo, I Carlucho, B Menna, M De Paula 2016 3rd IEEE/OES South American International Symposium on Oceanic …, 2016 | 9 | 2016 |
| Intelligent approach for the industrialization of deep learning solutions applied to fault detection IP Colo, CS Sueldo, M De Paula, GG Acosta Expert Systems with Applications, 120959, 2023 | 8 | 2023 |
| An obstacle avoidance system for mobile robotics based on the virtual force field method A Gianibelli, I Carlucho, M De Paula, GG Acosta 2018 IEEE Biennial Congress of Argentina (ARGENCON), 1-8, 2018 | 7 | 2018 |
| Integration of ROS and Tecnomatix for the development of digital twins based decision-making systems for smart factories CS Sueldo, SA Villar, M De Paula, GG Acosta IEEE Latin America Transactions 19 (9), 1546-1555, 2021 | 6 | 2021 |
Gerardo AcostaINTELYMEC CIFICEN CONICET Universidad Nacional del Centro de la Provincia de Buenos AiresEmail confirmado em fio.unicen.edu.ar
