Byron Boots
Byron Boots
Associate Professor, University of Washington
Verified email at cs.washington.edu - Homepage
Title
Cited by
Cited by
Year
Closing the learning-planning loop with predictive state representations
B Boots, SM Siddiqi, GJ Gordon
The International Journal of Robotics Research 30 (7), 954-966, 2011
2412011
Information theoretic MPC for model-based reinforcement learning
G Williams, N Wagener, B Goldfain, P Drews, JM Rehg, B Boots, ...
2017 IEEE International Conference on Robotics and Automation (ICRA), 1714-1721, 2017
2372017
Hilbert space embeddings of hidden Markov models
L Song, B Boots, S Siddiqi, G Gordon, A Smola
2242010
One-shot learning for semantic segmentation
A Shaban, S Bansal, Z Liu, I Essa, B Boots
arXiv preprint arXiv:1709.03410, 2017
2012017
Agile autonomous driving using end-to-end deep imitation learning
Y Pan, CA Cheng, K Saigol, K Lee, X Yan, E Theodorou, B Boots
arXiv preprint arXiv:1709.07174, 2017
1802017
Deeply aggrevated: Differentiable imitation learning for sequential prediction
W Sun, A Venkatraman, GJ Gordon, B Boots, JA Bagnell
International Conference on Machine Learning, 3309-3318, 2017
1682017
Reduced-rank hidden Markov models
S Siddiqi, B Boots, G Gordon
Proceedings of the Thirteenth International Conference on Artificial …, 2010
1382010
A constraint generation approach to learning stable linear dynamical systems
S Siddiqi, B Boots, G Gordon
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF, 2008
1372008
Differentiable mpc for end-to-end planning and control
B Amos, IDJ Rodriguez, J Sacks, B Boots, JZ Kolter
arXiv preprint arXiv:1810.13400, 2018
1352018
Percutaneous intracerebral navigation by duty-cycled spinning of flexible bevel-tipped needles
JA Engh, DS Minhas, D Kondziolka, CN Riviere
Neurosurgery 67 (4), 1117-1123, 2010
90*2010
Continuous-time Gaussian process motion planning via probabilistic inference
M Mukadam, J Dong, X Yan, F Dellaert, B Boots
The International Journal of Robotics Research 37 (11), 1319-1340, 2018
892018
Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs.
J Dong, M Mukadam, F Dellaert, B Boots
Robotics: Science and Systems 12, 4, 2016
842016
Learning from conditional distributions via dual embeddings
B Dai, N He, Y Pan, B Boots, L Song
Artificial Intelligence and Statistics, 1458-1467, 2017
832017
Hilbert space embeddings of predictive state representations
B Boots, G Gordon, A Gretton
arXiv preprint arXiv:1309.6819, 2013
832013
Gaussian process motion planning
M Mukadam, X Yan, B Boots
2016 IEEE international conference on robotics and automation (ICRA), 9-15, 2016
812016
An online spectral learning algorithm for partially observable nonlinear dynamical systems
B Boots, G Gordon
Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 2011
742011
4D crop monitoring: Spatio-temporal reconstruction for agriculture
J Dong, JG Burnham, B Boots, G Rains, F Dellaert
2017 IEEE International Conference on Robotics and Automation (ICRA), 3878-3885, 2017
672017
Truncated back-propagation for bilevel optimization
A Shaban, CA Cheng, N Hatch, B Boots
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
612019
Towards robust skill generalization: Unifying learning from demonstration and motion planning
M Rana, M Mukadam, SR Ahmadzadeh, S Chernova, B Boots
Intelligent robots and systems, 2018
612018
Functional gradient motion planning in reproducing kernel hilbert spaces
Z Marinho, A Dragan, A Byravan, B Boots, S Srinivasa, G Gordon
arXiv preprint arXiv:1601.03648, 2016
582016
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