Year |
Citation |
Score |
2020 |
Pan Y, Cheng C, Saigol K, Lee K, Yan X, Theodorou EA, Boots B. Imitation learning for agile autonomous driving The International Journal of Robotics Research. 39: 286-302. DOI: 10.1177/0278364919880273 |
0.506 |
|
2018 |
Mukadam M, Dong J, Dellaert F, Boots B. STEAP: simultaneous trajectory estimation and planning Autonomous Robots. 43: 415-434. DOI: 10.1007/S10514-018-9770-1 |
0.404 |
|
2017 |
Yan X, Indelman V, Boots B. Incremental sparse GP regression for continuous-time trajectory estimation and mapping Robotics and Autonomous Systems. 87: 120-132. DOI: 10.1016/J.Robot.2016.10.004 |
0.41 |
|
2015 |
Shaban A, Farajtabar M, Xie B, Song L, Boots B. Learning latent variable models by improving spectral solutions with exterior point method Uncertainty in Artificial Intelligence - Proceedings of the 31st Conference, Uai 2015. 792-801. |
0.512 |
|
2014 |
Boots B, Byravan A, Fox D. Learning predictive models of a depth camera & manipulator from raw execution traces Proceedings - Ieee International Conference On Robotics and Automation. 4021-4028. DOI: 10.1109/ICRA.2014.6907443 |
0.546 |
|
2013 |
Boots B, Gretton A, Gordon GJ. Hilbert space embeddings of predictive state representations Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, Uai 2013. 92-101. |
0.681 |
|
2013 |
Boots B, Gordon GJ. A Spectral learning approach to range-only SLAM 30th International Conference On Machine Learning, Icml 2013. 19-26. |
0.662 |
|
2012 |
Boots B, Gordon GJ. Two-manifold problems with applications to nonlinear system identification Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 623-630. |
0.648 |
|
2011 |
Boots B, MSiddiqi S, Gordon GJ. Closing the learning-planning loop with predictive state representations International Journal of Robotics Research. 30: 954-966. DOI: 10.1177/0278364911404092 |
0.752 |
|
2011 |
Boots B, Gordon GJ. An online spectral learning algorithm for partially observable nonlinear dynamical systems Proceedings of the National Conference On Artificial Intelligence. 1: 293-300. |
0.66 |
|
2011 |
Boots B, Siddiqi SM, Gordon GJ. Closing the learning-planning loop with predictive state representations Robotics: Science and Systems. 6: 283-290. |
0.759 |
|
2010 |
Siddiqi SM, Boots B, Gordon GJ. Reduced-Rank Hidden Markov Models Journal of Machine Learning Research. 9: 741-748. |
0.74 |
|
2010 |
Boots B, Gordon GJ. Predictive State Temporal Difference learning Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.685 |
|
2010 |
Song L, Boots B, Siddiqi SM, Gordon G, Smola A. Hilbert space embeddings of Hidden Markov Models Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 991-998. |
0.738 |
|
2009 |
Siddiqi SM, Boots B, Gordon GJ. A constraint generation approach to learning stable linear dynamical systems Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
0.715 |
|
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