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All publications by Nathan D. Ratliff
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Inverse Optimal Heuristic Control for Imitation Learning
Nathan D. Ratliff, Brian D. Ziebart, Kevin Peterson, J. A. Bagnell, Martial Hebert, Anind K. Dey and Siddhartha S. Srinivasa
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


(Approximate) Subgradient Methods for Structured Prediction
Nathan D. Ratliff, J. A. Bagnell and Martin Zinkevich
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Maximum margin planning
Nathan D. Ratliff, J. A. Bagnell and Martin Zinkevich
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Boosting Structured Prediction for Imitation Learning
J. A. Bagnell, Joel Chestnutt, David M. Bradley and Nathan D. Ratliff
Advances in Neural Information Processing Systems 19, 2006