An interactive framework for learning continuous actions policies based on corrective feedback C Celemin, J Ruiz-del-Solar Journal of Intelligent & Robotic Systems 95 (1), 77-97, 2019 | 57 | 2019 |
Interactive imitation learning in robotics: A survey C Celemin, R Pérez-Dattari, E Chisari, G Franzese, L de Souza Rosa, ... Foundations and Trends® in Robotics 10 (1-2), 1-197, 2022 | 33 | 2022 |
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 …, 2020 | 33 | 2020 |
A fast hybrid reinforcement learning framework with human corrective feedback C Celemin, J Ruiz-del-Solar, J Kober Autonomous Robots 43, 1173-1186, 2019 | 28 | 2019 |
Ball dribbling for humanoid biped robots: a reinforcement learning and fuzzy control approach L Leottau, C Celemin, J Ruiz-del-Solar RoboCup 2014: Robot World Cup XVIII 18, 549-561, 2015 | 28 | 2015 |
COACH: learning continuous actions from corrective advice communicated by humans C Celemin, J Ruiz-del-Solar 2015 International Conference on Advanced Robotics (ICAR), 581-586, 2015 | 27 | 2015 |
A proposal to speed up the computation of the centroid of an interval Type-2 fuzzy set CE Celemin, MA Melgarejo Advances in Fuzzy Systems 2013, 2013 | 25 | 2013 |
Reinforcement learning of motor skills using Policy Search and human corrective advice C Celemin, G Maeda, J Ruiz-del-Solar, J Peters, J Kober The International Journal of Robotics Research 38 (14), 1560-1580, 2019 | 22 | 2019 |
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 | 17 | 2019 |
Interactive Imitation Learning in State-Space S Jauhri, C Celemin, J Kober arXiv preprint arXiv:2008.00524, 2020 | 15 | 2020 |
Interactive learning of temporal features for control: Shaping policies and state representations from human feedback R Pérez-Dattari, C Celemin, G Franzese, J Ruiz-del-Solar, J Kober IEEE Robotics & Automation Magazine 27 (2), 46-54, 2020 | 15 | 2020 |
Interactive learning of continuous actions from corrective advice communicated by humans C Celemin, J Ruiz-del-Solar RoboCup 2015: Robot World Cup XIX 19, 16-27, 2015 | 13 | 2015 |
Learning Interactively to Resolve Ambiguity in Reference Frame Selection. G Franzese, C Celemin, J Kober CoRL, 1298-1311, 2020 | 10 | 2020 |
Knowledge-and ambiguity-aware robot learning from corrective and evaluative feedback C Celemin, J Kober Neural Computing and Applications 35 (23), 16821-16839, 2023 | 9 | 2023 |
A faster iterative computation of the centroid of an interval type-2 fuzzy set CE Celemin, MA Melgarejo 2012 Annual Meeting of the North American Fuzzy Information Processing …, 2012 | 9 | 2012 |
Teaching agents with corrective human feedback for challenging problems C Celemin, J Ruiz-del-Solar 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2016 | 6 | 2016 |
Deep Reinforcement Learning with Feedback-based Exploration J Scholten, D Wout, C Celemin, J Kober 2019 IEEE 58th Conference on Decision and Control (CDC), 803-808, 2019 | 5 | 2019 |
Learning Gaussian Policies from Corrective Human Feedback D Wout, J Scholten, C Celemin, J Kober arXiv preprint arXiv:1903.05216, 2019 | 3 | 2019 |
UChile Robotics Team Team Description for RoboCup 2014 JM Yánez, P Cano, M Mattamala, P Saavedra, DL Leottau, C Celemin, ... RoboCup, 2014 | 3 | 2014 |
Interactive machine learning applied to dribble a ball in soccer with biped robots C Celemin, R Perez, J Ruiz-del-Solar, M Veloso Robot World Cup, 363-375, 2017 | 1 | 2017 |