Nathan Ratliff
Nathan Ratliff
Research Scientist, Max Planck Institute for Intelligent Systems
Verified email at tuebingen.mpg.de - Homepage
TitleCited byYear
CHOMP: Gradient optimization techniques for efficient motion planning
N Ratliff, M Zucker, JA Bagnell, S Srinivasa
2009 IEEE International Conference on Robotics and Automation, 489-494, 2009
5562009
Maximum margin planning
ND Ratliff, JA Bagnell, MA Zinkevich
Proceedings of the 23rd international conference on Machine learning, 729-736, 2006
5352006
Planning-based prediction for pedestrians
BD Ziebart, N Ratliff, G Gallagher, C Mertz, K Peterson, JA Bagnell, ...
2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009
4052009
Chomp: Covariant hamiltonian optimization for motion planning
M Zucker, N Ratliff, AD Dragan, M Pivtoraiko, M Klingensmith, CM Dellin, ...
The International Journal of Robotics Research 32 (9-10), 1164-1193, 2013
3392013
Learning to search: structured prediction techniques for imitation learning
ND Ratliff
Carnegie Mellon University, 2009
222*2009
Learning to search: Functional gradient techniques for imitation learning
ND Ratliff, D Silver, JA Bagnell
Autonomous Robots 27 (1), 25-53, 2009
1992009
Boosting structured prediction for imitation learning
JA Bagnell, J Chestnutt, DM Bradley, ND Ratliff
Advances in Neural Information Processing Systems, 1153-1160, 2007
1452007
Bispace planning: Concurrent multi-space exploration
R Diankov, N Ratliff, D Ferguson, S Srinivasa, J Kuffner
Proceedings of Robotics: Science and Systems IV 63, 2008
1192008
(Approximate) Subgradient Methods for Structured Prediction
ND Ratliff, JA Bagnell, MA Zinkevich
Artificial Intelligence and Statistics, 380-387, 2007
942007
(Approximate) Subgradient Methods for Structured Prediction
ND Ratliff, JA Bagnell, MA Zinkevich
Artificial Intelligence and Statistics, 380-387, 2007
942007
Imitation learning for locomotion and manipulation
N Ratliff, JA Bagnell, SS Srinivasa
2007 7th IEEE-RAS International Conference on Humanoid Robots, 392-397, 2007
912007
Optimization and learning for rough terrain legged locomotion
M Zucker, N Ratliff, M Stolle, J Chestnutt, JA Bagnell, CG Atkeson, ...
The International Journal of Robotics Research 30 (2), 175-191, 2011
812011
Manipulation planning with goal sets using constrained trajectory optimization
AD Dragan, ND Ratliff, SS Srinivasa
2011 IEEE International Conference on Robotics and Automation, 4582-4588, 2011
632011
Closing the sim-to-real loop: Adapting simulation randomization with real world experience
Y Chebotar, A Handa, V Makoviychuk, M Macklin, J Issac, N Ratliff, D Fox
2019 International Conference on Robotics and Automation (ICRA), 8973-8979, 2019
542019
Subgradient methods for maximum margin structured learning
N Ratliff, JA Bagnell, M Zinkevich
ICML workshop on learning in structured output spaces 46, 2006
542006
The effects of repeated exposure on liking and judgments of musical unity of intact and patchwork compositions
SL Tan, MP Spackman, CL Peaslee
Music Perception: An Interdisciplinary Journal 23 (5), 407-421, 2006
482006
Inverse optimal heuristic control for imitation learning
N Ratliff, B Ziebart, K Peterson, JA Bagnell, M Hebert, AK Dey, S Srinivasa
Artificial Intelligence and Statistics, 424-431, 2009
472009
Direct Loss Minimization Inverse Optimal Control.
A Doerr, ND Ratliff, J Bohg, M Toussaint, S Schaal
Robotics: Science and Systems, 2015
342015
Semi-supervised learning with density based distances
AS Bijral, N Ratliff, N Srebro
arXiv preprint arXiv:1202.3702, 2012
302012
Understanding the geometry of workspace obstacles in motion optimization
N Ratliff, M Toussaint, S Schaal
2015 IEEE International Conference on Robotics and Automation (ICRA), 4202-4209, 2015
262015
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