Carlos Celemin

Zeus Entertainment (China) — China

Computer Science · Physical Sciences

11h-index319citations29works0.52yr avg
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Research Topics

Reinforcement Learning in Robotics(23), Robot Manipulation and Learning(14), AI-based Problem Solving and Planning(6), Adversarial Robustness in Machine Learning(4), Explainable Artificial Intelligence (XAI)(3)

Publications29 total

Learning Representations in Video Game Agents with Supervised Contrastive Imitation Learning
2025Open Access
Bayesian Optimization-based Search for Agent Control in Automated Game Testing
2024· 1 citedOpen Access
Knowledge- and ambiguity-aware robot learning from corrective and evaluative feedback
Neural Computing and Applications·2023· 13 citedOpen Access
Interactive Imitation Learning in Robotics: A Survey
Foundations and Trends in Robotics·2022· 49 citedOpen Access
Interactive Imitation Learning in Robotics: A Survey
arXiv (Cornell University)·2022· 3 citedOpen Access
Interactive Imitation Learning in Robotics: A Survey
2022· 6 cited
Uncertainties based queries for Interactive policy learning with evaluations and corrections
2021
Interactive Imitation Learning in State-Space
arXiv (Cornell University)·2020Open Access
Table of Contents
IEEE Robotics & Automation Magazine·2020Open Access
Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback
IEEE Robotics & Automation Magazine·2020· 17 citedOpen Access
Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks
Springer proceedings in advanced robotics·2020· 11 citedOpen Access
Learning Interactively to Resolve Ambiguity in Reference Frame Selection
Research Repository (Delft University of Technology)·2020· 6 cited
Deep Reinforcement Learning with Feedback-based Exploration
2019· 5 citedOpen Access
Reinforcement learning of motor skills using Policy Search and human corrective advice
The International Journal of Robotics Research·2019· 23 citedOpen Access
Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach
arXiv (Cornell University)·2019Open Access
Continuous Control for High-Dimensional State Spaces: An Interactive\n Learning Approach
arXiv (Cornell University)·2019Open Access
Simultaneous Learning of Objective Function and Policy from Interactive Teaching with Corrective Feedback
2019
Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach
2019· 15 cited
Learning Gaussian Policies from Corrective Human Feedback
arXiv (Cornell University)·2019· 1 citedOpen Access
Interactive Learning with Corrective Feedback for Policies based on Deep\n Neural Networks
arXiv (Cornell University)·2018Open Access
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Frequent Co-authors

Jens Kober(19), Javier Ruiz‐del‐Solar(15), Rodrigo Pérez‐Dattari(11), Giovanni Franzese(6), Eugenio Chisari(3), Leandro de Souza Rosa(3), Ravi Prakash(3), Zlatan Ajanović(3), Marta Ferraz(3), Abhinav Valada(3), Miguel Melgarejo(2), Jan Scholten(2), Daan Wout(2), Guilherme Maeda(1), Jan Peters(1), Leonardo Leottau(1), Manuela Veloso(1), Zhou You(1), Jianfeng Gao(1), Tamim Asfour(1)