P. Abbeel and A. Y. Ng, Apprenticeship learning via inverse reinforcement learning, Twenty-first international conference on Machine learning , ICML '04, p.1, 2004.
DOI : 10.1145/1015330.1015430

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.92

P. Henry, C. Vollmer, B. Ferris, and D. Fox, Learning to navigate through crowded environments, 2010 IEEE International Conference on Robotics and Automation, pp.981-986, 2010.
DOI : 10.1109/ROBOT.2010.5509772

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.206.292

Y. Kato, T. Kanda, and H. Ishiguro, May I help you?, Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI '15, pp.35-42, 2015.
DOI : 10.1145/1961189.1961199

B. Kim and J. Pineau, Socially Adaptive Path Planning in Human Environments Using Inverse Reinforcement Learning, International Journal of Social Robotics, vol.58, issue.1, pp.1-16, 2015.
DOI : 10.1109/IROS.2009.5354147

T. Kruse, A. Kirsch, H. Khambhaita, and R. Alami, Evaluating directional cost models in navigation, Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction, HRI '14, pp.350-357, 2014.
DOI : 10.1145/2559636.2559662

T. Kruse, A. Kumar-pandey, R. Alami, and A. Kirsch, Human-aware robot navigation: A survey, Robotics and Autonomous Systems, vol.61, issue.12, pp.611726-1743, 2013.
DOI : 10.1016/j.robot.2013.05.007

G. Michail, R. Lagoudakis, and . Parr, Least-squares policy iteration, The Journal of Machine Learning Research, vol.4, pp.1107-1149, 2003.

S. Levine, Z. Popovic, and V. Koltun, Nonlinear Inverse Reinforcement Learning with Gaussian Processes, Advances in Neural Information Processing Systems 24, pp.19-27

D. V. Lu, D. Hershberger, and W. D. Smart, Layered costmaps for context-sensitive navigation, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.709-715, 2014.
DOI : 10.1109/IROS.2014.6942636

M. Luber, L. Spinello, J. Silva, and K. O. Arras, Socially-aware robot navigation: A learning approach, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.902-907, 2012.
DOI : 10.1109/IROS.2012.6385716

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.377.28

B. Michini and J. P. How, Improving the efficiency of Bayesian inverse reinforcement learning, 2012 IEEE International Conference on Robotics and Automation, pp.3651-3656, 2012.
DOI : 10.1109/ICRA.2012.6225241

D. Ramachandran and E. Amir, Bayesian inverse reinforcement learning, p.61801, 2007.

R. Ramon-vigo, N. Perez-higueras, F. Caballero, and L. Merino, Transferring human navigation behaviors into a robot local planner, The 23rd IEEE International Symposium on Robot and Human Interactive Communication, pp.774-779, 2014.
DOI : 10.1109/ROMAN.2014.6926347

S. Satake, T. Kanda, D. F. Glas, M. Imai, H. Ishiguro et al., How to Approach Humans?-Strategies for Social Robots to Initiate Interaction-, 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp.109-116, 2009.
DOI : 10.7210/jrsj.28.327

M. Shomin, B. Vaidya, R. Hollis, and J. Forlizzi, Human-approaching trajectories for a person-sized balancing robot, 2014 IEEE International Workshop on Advanced Robotics and its Social Impacts, pp.20-25, 2014.
DOI : 10.1109/ARSO.2014.7020974

E. A. Sisbot, L. F. Marin-urias, R. Alami, and T. Simeon, A Human Aware Mobile Robot Motion Planner, IEEE Transactions on Robotics, vol.23, issue.5, pp.874-883, 2007.
DOI : 10.1109/TRO.2007.904911

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.102.7626

D. Vasquez, B. Okal, and K. O. Arras, Inverse Reinforcement Learning algorithms and features for robot navigation in crowds: An experimental comparison, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1341-1346, 2014.
DOI : 10.1109/IROS.2014.6942731

URL : https://hal.archives-ouvertes.fr/hal-01105265