Ball Dribbling for Humanoid Biped Robots: A Reinforcement Learning and Fuzzy Control Approach. - Leonardo Leottau; Carlos Celemin; Javier Ruiz-del-Solar (RoboCup, 2014)

COACH: Learning continuous actions from COrrective Advice Communicated by Humans. - Carlos Celemin; Javier Ruiz-del-Solar (ICAR, 2015)

Interactive Learning of Continuous Actions from Corrective Advice Communicated by Humans. - Carlos Celemin; Javier Ruiz-del-Solar (RoboCup, 2015)

Teaching agents with corrective human feedback for challenging problems. - Carlos Celemin; Javier Ruiz-del-Solar (LA-CCI, 2016)

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 (RoboCup, 2017)

Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks. - Rodrigo Pérez-Dattari; Carlos Celemin; Javier Ruiz-del-Solar; Jens Kober (ISER, 2018)

Simultaneous Learning of Objective Function and Policy from Interactive Teaching with Corrective Feedback. - Carlos Celemin; Jens Kober (AIM, 2019)

Deep Reinforcement Learning with Feedback-based Exploration. - Jan Scholten; Daan Wout; Carlos Celemin; Jens Kober (CDC, 2019)

Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach. - Rodrigo Pérez-Dattari; Carlos Celemin; Javier Ruiz-del-Solar; Jens Kober (ICRA, 2019)

A fast hybrid reinforcement learning framework with human corrective feedback. - Carlos Celemin; Javier Ruiz-del-Solar; Jens Kober (Auton. Robots, 2019)

Learning Gaussian Policies from Corrective Human Feedback. - Daan Wout; Jan Scholten; Carlos Celemin; Jens Kober (CoRR, 2019)

Reinforcement learning of motor skills using Policy Search and human corrective advice. - Carlos Celemin; Guilherme Maeda; Javier Ruiz-del-Solar; Jan Peters 001; Jens Kober (Int. J. Robotics Res., 2019)

An Interactive Framework for Learning Continuous Actions Policies Based on Corrective Feedback. - Carlos Celemin; Javier Ruiz-del-Solar (J. Intell. Robotic Syst., 2019)

Learning Interactively to Resolve Ambiguity in Reference Frame Selection. - Giovanni Franzese; Carlos Celemin; Jens Kober (CoRL, 2020)

Interactive Imitation Learning in State-Space. - Snehal Jauhri; Carlos Celemin; Jens Kober (CoRL, 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)

Uncertainties based queries for Interactive policy learning with evaluations and corrections. - Carlos Celemin; Jens Kober (ICMI Companion, 2021)

Interactive Imitation Learning in Robotics: A Survey. - Carlos Celemin; Rodrigo Pérez-Dattari; Eugenio Chisari; Giovanni Franzese; Leandro de Souza Rosa; Ravi Prakash 002; Zlatan Ajanovic; Marta Ferraz; Abhinav Valada; Jens Kober (Found. Trends Robotics, 2022)

Knowledge- and ambiguity-aware robot learning from corrective and evaluative feedback. - Carlos Celemin; Jens Kober (Neural Comput. Appl., 2023)

Bayesian Optimization-based Search for Agent Control in Automated Game Testing. - Carlos Celemin (CoG, 2024)

Learning Representations in Video Game Agents with Supervised Contrastive Imitation Learning. - Carlos Celemin; Joseph Brennan; Pierluigi Vito Amadori; Tim Bradley (CoG, 2025)