Carlos Celemin

According to our database, Carlos Celemin authored at least 20 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bayesian Optimization-based Search for Agent Control in Automated Game Testing.

Carlos Celemin

Proceedings of the IEEE Conference on Games, 2024

2023

Knowledge- and ambiguity-aware robot learning from corrective and evaluative feedback.

Carlos Celemin, Jens Kober

Neural Comput. Appl., August, 2023

2022

Interactive Imitation Learning in Robotics: A Survey.

Carlos Celemin, Rodrigo Pérez-Dattari, Eugenio Chisari, Giovanni Franzese, Leandro de Souza Rosa, Ravi Prakash, Zlatan Ajanovic, Marta Ferraz, Abhinav Valada, Jens Kober

Found. Trends Robotics, 2022

2021

Uncertainties based queries for Interactive policy learning with evaluations and corrections.

Carlos Celemin, Jens Kober

Proceedings of the ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction, Montreal, QC, Canada, October 18, 2021

2020

Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback.

Rodrigo Pérez-Dattari, Carlos Celemin, Giovanni Franzese, Javier Ruiz-del-Solar, Jens Kober

IEEE Robotics Autom. Mag., 2020

Interactive Imitation Learning in State-Space.

Snehal Jauhri, Carlos Celemin, Jens Kober

Proceedings of the 4th Conference on Robot Learning, 2020

Learning Interactively to Resolve Ambiguity in Reference Frame Selection.

Giovanni Franzese, Carlos Celemin, Jens Kober

Proceedings of the 4th Conference on Robot Learning, 2020

2019

An Interactive Framework for Learning Continuous Actions Policies Based on Corrective Feedback.

Carlos Celemin, Javier Ruiz-del-Solar

J. Intell. Robotic Syst., 2019

Reinforcement learning of motor skills using Policy Search and human corrective advice.

Carlos Celemin, Guilherme Maeda, Javier Ruiz-del-Solar, Jan Peters, Jens Kober

Int. J. Robotics Res., 2019

Learning Gaussian Policies from Corrective Human Feedback.

Daan Wout, Jan Scholten, Carlos Celemin, Jens Kober

CoRR, 2019

A fast hybrid reinforcement learning framework with human corrective feedback.

Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober

Auton. Robots, 2019

Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach.

Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober

Proceedings of the International Conference on Robotics and Automation, 2019

Deep Reinforcement Learning with Feedback-based Exploration.

Jan Scholten, Daan Wout, Carlos Celemin, Jens Kober

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Simultaneous Learning of Objective Function and Policy from Interactive Teaching with Corrective Feedback.

Carlos Celemin, Jens Kober

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019

2018

Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks.

Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

2017

Interactive Machine Learning Applied to Dribble a Ball in Soccer with Biped Robots.

Carlos Celemin, Rodrigo Pérez-Dattari, Javier Ruiz-del-Solar, Manuela M. Veloso

Proceedings of the RoboCup 2017: Robot World Cup XXI [Nagoya, Japan, July 27-31, 2017]., 2017

2016

Teaching agents with corrective human feedback for challenging problems.

Carlos Celemin, Javier Ruiz-del-Solar

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

2015

Interactive Learning of Continuous Actions from Corrective Advice Communicated by Humans.

Carlos Celemin, Javier Ruiz-del-Solar

Proceedings of the RoboCup 2015: Robot World Cup XIX [papers from the 19th Annual RoboCup International Symposium, 2015

COACH: Learning continuous actions from COrrective Advice Communicated by Humans.

Carlos Celemin, Javier Ruiz-del-Solar

Proceedings of the International Conference on Advanced Robotics, 2015

2014

Ball Dribbling for Humanoid Biped Robots: A Reinforcement Learning and Fuzzy Control Approach.

Leonardo Leottau, Carlos Celemin, Javier Ruiz-del-Solar

Proceedings of the RoboCup 2014: Robot World Cup XVIII [papers from the 18th Annual RoboCup International Symposium, 2014