Nathan D. Ratliff, Ph.D.
Affiliations: | 2009 | Carnegie Mellon University, Pittsburgh, PA |
Area:
Artificial Intelligence, Robotics Engineering, Computer ScienceGoogle:
"Nathan Ratliff"Parents
Sign in to add mentor| J Andrew Bagnell | grad student | 2009 | Carnegie Mellon | |
| (Learning to search: Structured prediction techniques for imitation learning.) | ||||
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Publications
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| Broad A, Arkin J, Ratliff ND, et al. (2017) Real-time natural language corrections for assistive robotic manipulators: The International Journal of Robotics Research. 36: 684-698 |
| Ratliff N, Meier F, Kappler D, et al. (2016) DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. Big Data. 4: 253-268 |
| Zucker M, Ratliff N, Dragan AD, et al. (2013) CHOMP: Covariant Hamiltonian optimization for motion planning International Journal of Robotics Research. 32: 1164-1193 |
| Zucker M, Ratliff N, Stolle M, et al. (2011) Optimization and learning for rough terrain legged locomotion International Journal of Robotics Research. 30: 175-191 |
| Dragan AD, Ratliff ND, Srinivasa SS. (2011) Manipulation planning with goal sets using constrained trajectory optimization Proceedings - Ieee International Conference On Robotics and Automation. 4582-4588 |
| Ratliff ND, Silver D, Bagnell JA. (2009) Learning to search: Functional gradient techniques for imitation learning Autonomous Robots. 27: 25-53 |
| Ratliff ND, Bagnell JA. (2007) Kernel conjugate gradient for fast kernel machines Ijcai International Joint Conference On Artificial Intelligence. 1017-1022 |
| Ratliff ND, Bagnell JA, Zinkevich MA. (2007) (Online) subgradient methods for structured prediction Journal of Machine Learning Research. 2: 380-387 |
| Ratliff ND, Andrew Bagnell J, Zinkevic MA. (2006) Maximum margin planning Acm International Conference Proceeding Series. 148: 729-736 |
| Ratliff ND, Bagnell JA, Zinkevich MA. (2006) Maximum margin planning Icml 2006 - Proceedings of the 23rd International Conference On Machine Learning. 2006: 729-736 |