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ORCIDCarlos Celemin
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Journal Articles
- 2023
[j6]Carlos Celemin
, Jens Kober:
Knowledge- and ambiguity-aware robot learning from corrective and evaluative feedback. Neural Comput. Appl. 35(23): 16821-16839 (2023)- 2022
- [j5]Carlos Celemin, Rodrigo Pérez-Dattari, Eugenio Chisari, Giovanni Franzese, Leandro de Souza Rosa, Ravi Prakash, Zlatan Ajanovic, Marta Ferraz, Abhinav Valada, Jens Kober:
Interactive Imitation Learning in Robotics: A Survey. Found. Trends Robotics 10(1-2): 1-197 (2022) - 2020
- [j4]Rodrigo Pérez-Dattari, Carlos Celemin, Giovanni Franzese, Javier Ruiz-del-Solar, Jens Kober:
Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback. IEEE Robotics Autom. Mag. 27(2): 46-54 (2020) - 2019
- [j3]Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober:
A fast hybrid reinforcement learning framework with human corrective feedback. Auton. Robots 43(5): 1173-1186 (2019) - [j2]Carlos Celemin, Guilherme Maeda, Javier Ruiz-del-Solar, Jan Peters, Jens Kober:
Reinforcement learning of motor skills using Policy Search and human corrective advice. Int. J. Robotics Res. 38(14) (2019) - [j1]Carlos Celemin, Javier Ruiz-del-Solar:
An Interactive Framework for Learning Continuous Actions Policies Based on Corrective Feedback. J. Intell. Robotic Syst. 95(1): 77-97 (2019)
Conference and Workshop Papers
- 2024
- [c13]Carlos Celemin:
Bayesian Optimization-based Search for Agent Control in Automated Game Testing. CoG 2024: 1-4 - 2021
- [c12]Carlos Celemin, Jens Kober:
Uncertainties based queries for Interactive policy learning with evaluations and corrections. ICMI Companion 2021: 192-193 - 2020
- [c11]Snehal Jauhri, Carlos Celemin, Jens Kober:
Interactive Imitation Learning in State-Space. CoRL 2020: 682-692 - [c10]Giovanni Franzese, Carlos Celemin, Jens Kober:
Learning Interactively to Resolve Ambiguity in Reference Frame Selection. CoRL 2020: 1298-1311 - 2019
- [c9]Carlos Celemin, Jens Kober:
Simultaneous Learning of Objective Function and Policy from Interactive Teaching with Corrective Feedback. AIM 2019: 726-732 - [c8]Jan Scholten, Daan Wout, Carlos Celemin, Jens Kober:
Deep Reinforcement Learning with Feedback-based Exploration. CDC 2019: 803-808 - [c7]Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober:
Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach. ICRA 2019: 7611-7617 - 2018
- [c6]Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober:
Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks. ISER 2018: 353-363 - 2017
- [c5]Carlos Celemin, Rodrigo Pérez-Dattari, Javier Ruiz-del-Solar, Manuela M. Veloso:
Interactive Machine Learning Applied to Dribble a Ball in Soccer with Biped Robots. RoboCup 2017: 363-375 - 2016
- [c4]Carlos Celemin, Javier Ruiz-del-Solar:
Teaching agents with corrective human feedback for challenging problems. LA-CCI 2016: 1-6 - 2015
- [c3]Carlos Celemin, Javier Ruiz-del-Solar:
COACH: Learning continuous actions from COrrective Advice Communicated by Humans. ICAR 2015: 581-586 - [c2]Carlos Celemin, Javier Ruiz-del-Solar:
Interactive Learning of Continuous Actions from Corrective Advice Communicated by Humans. RoboCup 2015: 16-27 - 2014
- [c1]Leonardo Leottau, Carlos Celemin, Javier Ruiz-del-Solar:
Ball Dribbling for Humanoid Biped Robots: A Reinforcement Learning and Fuzzy Control Approach. RoboCup 2014: 549-561
Informal and Other Publications
- 2022
- [i6]Carlos Celemin, Rodrigo Pérez-Dattari, Eugenio Chisari, Giovanni Franzese, Leandro de Souza Rosa, Ravi Prakash, Zlatan Ajanovic, Marta Ferraz, Abhinav Valada, Jens Kober:
Interactive Imitation Learning in Robotics: A Survey. CoRR abs/2211.00600 (2022) - 2020
- [i5]Snehal Jauhri, Carlos Celemin, Jens Kober:
Interactive Imitation Learning in State-Space. CoRR abs/2008.00524 (2020) - 2019
- [i4]Daan Wout, Jan Scholten, Carlos Celemin, Jens Kober:
Learning Gaussian Policies from Corrective Human Feedback. CoRR abs/1903.05216 (2019) - [i3]Jan Scholten, Daan Wout, Carlos Celemin, Jens Kober:
Deep Reinforcement Learning with Feedback-based Exploration. CoRR abs/1903.06151 (2019) - [i2]Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober:
Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach. CoRR abs/1908.05256 (2019) - 2018
- [i1]Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober:
Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks. CoRR abs/1810.00466 (2018)
Coauthor Index
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