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Julien Pérolat, Bilal Piot, Matthieu Geist, Bruno Scherrer and Olivier Pietquin. Softened Approximate Policy Iteration for Markov Games. In Proceedings of the Thirty third International Conference of Machine Learning (ICML 2016), 2016. Paper Layla El Asri, Bilal Piot, Matthieu Geist, Romain Laroche and Olivier Pietquin. Score-based Inverse Reinforcement Learning. In Proceedngs of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), 2016. Paper & Poster Julien Pérolat, Bilal Piot, Bruno Scherrer and Olivier Pietquin. On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games. In Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016), 2016.Paper & Supplementary & Poster 2015 Julien Pérolat, Bilal Piot, Bruno Scherrer and Olivier Pietquin. Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games. In Proceedings of the Thirty Second International Conference of Machine Learning (ICML 2015), 2015. Paper Thibault Munzer, Bilal Piot, Matthieu Geist, Olivier Pietquin and Manuel Lopes. Inverse Reinforcement Learning in Relational Domains. In International Joint Conferences on Artificial Intelligence (IJCAI 2015), 2015. Paper Bilal Piot, Matthieu Geist and Olivier Pietquin. Imitation Learning Applied to Embodied Conversational Agents. In Machine Learning and Interactive Systems (MLIS 2015), 2015. Paper