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Rodrigo Pérez-Dattari
Rodrigo Pérez-Dattari
PhD Student, Cognitive Robotics, Delft University of Technology
Verified email at tudelft.nl
Title
Cited by
Cited by
Year
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
162018
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
122019
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
72020
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
12017
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
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Articles 1–8