J. R. Wolpaw, Brain???computer interfaces for communication and control, Clinical Neurophysiology, vol.113, issue.6, pp.767-791, 2002.
DOI : 10.1016/S1388-2457(02)00057-3

F. Lotte and C. Guan, Spatially Regularized Common Spatial Patterns for EEG Classification, 2010 20th International Conference on Pattern Recognition, 2010.
DOI : 10.1109/ICPR.2010.904

URL : https://hal.archives-ouvertes.fr/inria-00447435

J. Fruitet, Automatic motor task selection via a bandit algorithm for a brain-controlled button, Journal of Neural Engineering, vol.10, issue.1, 2011.
DOI : 10.1088/1741-2560/10/1/016012

URL : https://hal.archives-ouvertes.fr/inria-00624686

L. R. Hochberg, Reach and grasp by people with tetraplegia using a neurally controlled robotic arm, Nature, vol.105, issue.7398, pp.372-375, 2012.
DOI : 10.1038/nature11076

T. J. Bradberry, R. J. Gentili, J. L. Contreras, and . Vidal, Reconstructing Three-Dimensional Hand Movements from Noninvasive Electroencephalographic Signals, Journal of Neuroscience, vol.30, issue.9, pp.3432-34376107, 2010.
DOI : 10.1523/JNEUROSCI.6107-09.2010

G. M. and -. P. Ofner, Decoding of hand movement velocities in three dimensions from the eeg during continuous movement of the arm Available: http://www.tobi-project. org/sites

J. R. Wolpaw and D. J. Mcfarland, Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans, Proceedings of the National Academy of Sciences, vol.101, issue.51, pp.17-849, 2004.
DOI : 10.1073/pnas.0403504101

H. Yuan, C. Perdoni, and B. He, Relationship between speed and eeg activity during imagined and executed hand movements EEG control of a virtual helicopter in 3-dimensional space using intelligent control strategies, Journal of Neural Engineering IEEE Trans Neural Syst Rehabil Eng, vol.7, issue.18 6, pp.26001-581, 2010.

P. Horki, Combined motor imagery and SSVEP based BCI control of a 2 DoF artificial upper limb, Medical & Biological Engineering & Computing, vol.7, issue.11, pp.567-577, 2011.
DOI : 10.1007/s11517-011-0750-2

G. Pfurtscheller, Current trends in Graz brain-computer interface (BCI) research, IEEE Transactions on Rehabilitation Engineering, vol.8, issue.2, pp.216-219, 2000.
DOI : 10.1109/86.847821

G. Townsend, B. Graimann, and G. Pfurtscheller, Continuous eeg classification during motor imagery-simulation of an asynchronous bci Neural Systems and Rehabilitation Engineering, IEEE Transactions on, vol.12, issue.2, pp.258-265827220, 2004.

C. Guger, How many people are able to operate an eeg-based brain-computer interface (bci)?, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.11, issue.2, pp.145-152, 2003.
DOI : 10.1109/TNSRE.2003.814481

V. Kaiser, First steps towards a motor-imagery based stroke bci: New strategy to set up a classifier Special Topic " Future invasive and noninvasive Brain-Machine-Interfaces(BMI) for acute and chronic stroke, Frontiers in Neuroprosthetics, 2011.

M. Naeem, Seperability of four-class motor imagery data using independent components analysis, Journal of Neural Engineering, vol.3, issue.3, p.208, 2006.
DOI : 10.1088/1741-2560/3/3/003

T. Wang, J. Deng, and B. He, Classifying EEG-based motor imagery tasks by means of time???frequency synthesized spatial patterns, Clinical Neurophysiology, vol.115, issue.12, pp.2744-2753, 2004.
DOI : 10.1016/j.clinph.2004.06.022

A. Bashashati, A survey of signal processing algorithms in brain???computer interfaces based on electrical brain signals, Journal of Neural Engineering, vol.4, issue.2, pp.32-57, 2007.
DOI : 10.1088/1741-2560/4/2/R03

F. Lotte, A review of classification algorithms for EEG-based brain???computer interfaces, Journal of Neural Engineering, vol.4, issue.2, 2007.
DOI : 10.1088/1741-2560/4/2/R01

URL : https://hal.archives-ouvertes.fr/inria-00134950

A. Ng and S. Russell, Algorithms for inverse reinforcement learning, Proc. ICML, pp.663-670, 2000.

M. Puterman, Markov decision processes: Discrete stochastic dynamic programming, 1994.
DOI : 10.1002/9780470316887

E. Klein, Structured Classification for Inverse Reinforcement Learning, European Workshop on Reinforcement Learning, p.2012, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00749524

P. Abbeel, A. Coates, and A. Ng, Autonomous Helicopter Aerobatics through Apprenticeship Learning, The International Journal of Robotics Research, vol.29, issue.13, pp.1608-1639, 2010.
DOI : 10.1177/0278364910371999

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

M. Geist and O. Pietquin, Kalman Temporal Differences, Journal of Artificial Intelligence Research, vol.39, pp.483-532, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00351297