| Interactive learning with corrective feedback for policies based on deep neural networks R Pérez-Dattari, C Celemin, J Ruiz-del-Solar, J Kober Proceedings of the 2018 International Symposium on Experimental Robotics …, 2018 | 16 | 2018 |
| Continuous control for high-dimensional state spaces: An interactive learning approach R Pérez-Dattari, C Celemin, J Ruiz-del-Solar, J Kober 2019 International Conference on Robotics and Automation (ICRA), 7611-7617, 2019 | 12 | 2019 |
| Interactive learning of temporal features for control: Shaping policies and state representations from human feedback R Perez-Dattari, C Celemin, G Franzese, J Ruiz-del-Solar, J Kober IEEE Robotics & Automation Magazine 27 (2), 46-54, 2020 | 7 | 2020 |
| Interactive Machine Learning Applied to Dribble a Ball in Soccer with Biped Robots C Celemin, R Pérez-Dattari, J Ruiz-del-Solar, M Veloso Robot World Cup, 363-375, 2017 | 1 | 2017 |
| UChile Robotics Team Team Description for RoboCup 2017 K Lobos, G Azócar, N Cruz, R Pérez, P Miranda, F Leiva, C Celemın, ... | 1 | |
| Imitation Learning with Inconsistent Demonstrations through Uncertainty-based Data Manipulation P Valletta, R Pérez-Dattari, J Kober | | 2021 |
| Interactive learning with corrective feedback for continuous-action policies based on deep neural networks RJ Pérez Dattari Universidad de Chile, 2019 | | 2019 |
| Goalie Behaviors using Reinforcement Learning in Robotic Soccer R Pérez-Dattari, K Lobos-Tsunekawa | | |
Carlos CeleminCognitive Robotics, Delft University of TechnologyVerified email at tudelft.nl
