[1] Edouard Klein, Bilal PIOT, Matthieu Geist, and Olivier Pietquin. Classification structurée pour l'apprentissage par renforcement inverse. Revue d'Intelligence Artificielle, Mai 2013. [ bib | .pdf ]
[2] Edouard Klein, Bilal PIOT, Matthieu Geist, and Olivier Pietquin. Apprentissage par renforcement inverse en cascadant classification et régression. In Journées Francophones de Planification, Décision et Apprentissage (JFPDA), 2013. [ bib | .pdf ]
[3] Edouard Klein, Bilal PIOT, Matthieu Geist, and Olivier Pietquin. A cascaded supervised learning approach to inverse reinforcement learning. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013), Prague (Czech Republic), September 2013. [ bib | .pdf ]
[4] Matthieu Geist, Edouard Klein, Yann Guermeur, and Olivier Pietquin. Cascading and merging supervised learning for inverse reinforcement learning. Technical report, 2013. [ bib ]
[5] Matthieu Geist, Edouard Klein, Bilal Piot, Yann Guermeur, and Olivier Pietquin. Around inverse reinforcement learning and score-based classification. In Reinforcement Learning and Decision Making Meetings, 2013. [ bib ]
[6] Laurent Bougrain, Matthieu Duvinage, and Edouard Klein. Inverse reinforcement learning to control a robotic arm using a brain-computer interface. Technical report, eNTERFACE Summer Workshop, 2012. [ bib | .pdf ]
[7] Edouard Klein, Bilal PIOT, Matthieu Geist, and Olivier Pietquin. Classification structurée pour l'apprentissage par renforcement inverse. Revue d'Intelligence Artificielle, 2013. [ bib ]
[8] Edouard Klein, Matthieu Geist, Bilal PIOT, and Olivier Pietquin. Inverse Reinforcement Learning through Structured Classification. In Advances in Neural Information Processing Systems (NIPS 2012), Lake Tahoe (NV, USA), December 2012. [ bib | .pdf ]
[9] Edouard Klein, Bilal PIOT, Matthieu Geist, and Olivier Pietquin. Classification structurée pour l'apprentissage par renforcement inverse. In Actes de la Conférence Francophone sur l'Apprentissage Automatique (Cap 2012), Nancy, France, 2012. to appear. [ bib | .pdf ]
[10] Edouard Klein, Bilal PIOT, Matthieu Geist, and Olivier Pietquin. Structured Classification for Inverse Reinforcement Learning. In European inproceedings on Reinforcement Learning (EWRL 2012), Edinburgh (UK), June 2012. [ bib | .pdf ]
[11] Edouard Klein, Matthieu Geist, and Olivier Pietquin. Reducing the dimentionality of the reward space in the Inverse Reinforcement Learning problem. In Proceedings of the IEEE inproceedings on Machine Learning Algorithms, Systems and Applications (MLASA 2011), page 4 pages, Honolulu (USA), December 2011. [ bib | .pdf ]
[12] Edouard Klein, Matthieu Geist, and Olivier Pietquin. Batch, Off-policy and Model-free Apprenticeship Learning. In Proceedings of the European inproceedings on Reinforcement Learning (EWRL 2011), Lecture Notes in Computer Science (LNCS), page 12 pages, Athens (Greece), september 2011. Springer Verlag - Heidelberg Berlin. [ bib | .pdf ]
[13] Edouard Klein, Matthieu Geist, and Olivier Pietquin. Apprentissage par imitation étendu au cas batch, off-policy et sans modèle. In Sixièmes Journées Francophones de Planification, Décision et Apprentissage pour la conduite de systèmes (JFPDA 2011), page 9 pages, Rouen (France), June 2011. [ bib | .pdf ]
[14] Edouard Klein, Matthieu Geist, and Olivier Pietquin. Batch, Off-policy and Model-Free Apprenticeship Learning. In IJCAI inproceedings on Agents Learning Interactively from Human Teachers (ALIHT 2011), Barcelona (Spain), July 2011. 6 pages. [ bib | .pdf ]

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