N. Abbeel, A. Abbeel, and . Ng, Apprenticeship learning via inverse reinforcement learning, Twenty-first international conference on Machine learning , ICML '04, 2004.
DOI : 10.1145/1015330.1015430
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.92

. Boularias, Relative Entropy Inverse Reinforcement Learning, Proceedings of the 14th International Conference on Artificial Intelligence and Statistics Semi-Supervised Learning, pp.182-189, 2006.

. Klein, Inverse Reinforcement Learning through Structured Classification, Advances in Neural Information Processing Systems 25, pp.1016-1024, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00778624

R. Ng, S. Ng, and . Russell, Algorithms for inverse reinforcement learning, Proceedings of the 17th International Conference on Machine Learning, pp.663-670, 2000.

. Ng, Autonomous Inverted Helicopter Flight via Reinforcement Learning, International Symposium on Experimental Robotics, 2004.
DOI : 10.1007/11552246_35

. Syed, Apprenticeship Learning Using Linear Programming Semi-Supervised Apprenticeship Learning, Proceedings of the 25th International Conference on Machine Learning Proceedings of the 10th European Workshop on Reinforcement LearningZhu, 2005] Xiaojin Zhu. Semi-supervised learning literature survey, pp.1032-1039, 2005.
DOI : 10.1145/1390156.1390286
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.4348

. Ziebart, Maximum Entropy Inverse Reinforcement Learning, Proceedings of the 23rd AAAI Conference on Artificial Intelligence, 2008.

. Ziebart, Andrew (Drew) Bagnell, and Anind Dey. The principle of maximum causal entropy for estimating interacting processes, IEEE Transactions on Information Theory, 2013.