P. Abbeel and A. Ng, Apprenticeship learning via inverse reinforcement learning, Proceedings of the 21st international conference on machine learning, 2004.
DOI : 10.1145/1015330.1015430
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.92

K. Bennett and A. Demiriz, Semi-Supervised Support Vector Machines, Advances in Neural Information Processing Systems 11, pp.368-374, 1999.

A. Boularias, J. Kober, and J. Peters, Model-free inverse reinforcement learning, Proceedings of Fourteenth International Conference on Artificial Intelligence and Statistics, pp.182-189, 2011.

M. Grant, S. Boyd, and Y. Ye, Disciplined Convex Programming and CVX. Review Literature And Arts Of The Americas, pp.1-26, 2006.
DOI : 10.1007/0-387-30528-9_7
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.8900

T. Joachims, Making large-Scale SVM Learning Practical Advances in Kernel Methods Support Vector Learning, pp.169-184, 1999.

T. Joachims, Transductive Inference for Text Classification using Support Vector Machines, ICML '99: Proceedings of the Sixteenth International Conference on Machine Learning, pp.200-209, 1999.

A. Ng, A. Coates, M. Diel, V. Ganapathi, J. Schulte et al., Inverted Autonomous Helicopter Flight via Reinforcement Learning, International Symposium on Experimental Robotics, 2004.

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

D. Nathan, A. Ratliff, . Bagnell, A. Martin, and . Zinkevich, Maximum margin planning, Proceedings of the 23rd ICML, 2006.

A. Singh, D. Robert, X. Nowak, and . Zhu, Unlabeled data: Now it helps, now it doesn't, Advances in Neural Information Processing Systems 21, 2008.

N. Vladimir and . Vapnik, The nature of statistical learning theory, 1995.

X. Zhu, Semi-Supervised Learning Literature Survey, 2008.

X. Zhu, Z. Ghahramani, and J. Lafferty, Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions, Proceedings of the 20th International Conference on Machine Learning, pp.912-919, 2003.