Interactive Learning


Snehal Jauhri, Carlos E. Celemin, and Jens Kober. Interactive Imitation Learning in State-Space. In Conference on Robot Learning (CoRL), 2020. [bibtex] [pdf] [code] [video]


Giovanni Franzese, Carlos E. Celemin, and Jens Kober. Learning Interactively to Resolve Ambiguity in Reference Frame Selection. In Conference on Robot Learning (CoRL), 2020. [bibtex] [pdf] [video]


Rodrigo Pérez-Dattari, Carlos E. Celemin, Giovanni Franzese, Javier Ruiz-del-Solar, and Jens Kober. Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback. IEEE Robotics & Automation Magazine, 27(2):46–54, 2020. [bibtex] [pdf] [doi] [code] [video]


Carlos E. Celemin, Guilherme Maeda, Javier Ruiz-del-Solar, Jan Peters, and Jens Kober. Reinforcement Learning of Motor Skills using Policy Search and Human Corrective Advice. International Journal of Robotics Research, 38(14):1560–1580, 2019. [bibtex] [pdf] [doi] [video]


Carlos E. Celemin and Jens Kober. Simultaneous Learning of Objective Function and Policy from Interactive Teaching with Corrective Feedback. In IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), pp. 726–732, 2019. [bibtex] [pdf] [doi] [video]


Rodrigo Pérez-Dattari, Carlos E. Celemin, Javier Ruiz-del-Solar, and Jens Kober. Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach. In IEEE International Conference on Robotics and Automation (ICRA), pp. 7611–7617, 2019. [bibtex] [pdf] [doi] [code] [video]


Rodrigo Pérez-Dattari, Carlos E. Celemin, Javier Ruiz-del-Solar, and Jens Kober. Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks. In International Symposium on Experimental Robotics (ISER) (Jing Xiao, Torsten Kröger, Oussama Khatib, eds.), Springer International Publishing, pp. 353–363, 2018. [bibtex] [pdf] [doi] [code] [video]


Carlos E. Celemin, Javier Ruiz-del-Solar, and Jens Kober. A Fast Hybrid Reinforcement Learning Framework with Human Corrective Feedback. Autonomous Robots, 43(5):1173–1186, 2019. [bibtex] [pdf] [doi] [video]