Year |
Citation |
Score |
2017 |
Broad A, Arkin J, Ratliff ND, Howard TM, Argall BD. Real-time natural language corrections for assistive robotic manipulators: The International Journal of Robotics Research. 36: 684-698. DOI: 10.1177/0278364917706418 |
0.339 |
|
2016 |
Ratliff N, Meier F, Kappler D, Schaal S. DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. Big Data. 4: 253-268. PMID 27992267 DOI: 10.1089/big.2016.0041 |
0.36 |
|
2013 |
Zucker M, Ratliff N, Dragan AD, Pivtoraiko M, Klingensmith M, Dellin CM, Bagnell JA, Srinivasa SS. CHOMP: Covariant Hamiltonian optimization for motion planning International Journal of Robotics Research. 32: 1164-1193. DOI: 10.1177/0278364913488805 |
0.608 |
|
2011 |
Zucker M, Ratliff N, Stolle M, Chestnutt J, Bagnell JA, Atkeson CG, Kuffner J. Optimization and learning for rough terrain legged locomotion International Journal of Robotics Research. 30: 175-191. DOI: 10.1177/0278364910392608 |
0.642 |
|
2011 |
Dragan AD, Ratliff ND, Srinivasa SS. Manipulation planning with goal sets using constrained trajectory optimization Proceedings - Ieee International Conference On Robotics and Automation. 4582-4588. DOI: 10.1109/ICRA.2011.5980538 |
0.4 |
|
2009 |
Ratliff ND, Silver D, Bagnell JA. Learning to search: Functional gradient techniques for imitation learning Autonomous Robots. 27: 25-53. DOI: 10.1007/S10514-009-9121-3 |
0.641 |
|
2007 |
Ratliff ND, Bagnell JA. Kernel conjugate gradient for fast kernel machines Ijcai International Joint Conference On Artificial Intelligence. 1017-1022. |
0.618 |
|
2007 |
Ratliff ND, Bagnell JA, Zinkevich MA. (Online) subgradient methods for structured prediction Journal of Machine Learning Research. 2: 380-387. |
0.604 |
|
2006 |
Ratliff ND, Andrew Bagnell J, Zinkevic MA. Maximum margin planning Acm International Conference Proceeding Series. 148: 729-736. DOI: 10.1145/1143844.1143936 |
0.594 |
|
2006 |
Ratliff ND, Bagnell JA, Zinkevich MA. Maximum margin planning Icml 2006 - Proceedings of the 23rd International Conference On Machine Learning. 2006: 729-736. |
0.657 |
|
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