Byron Boots
Byron Boots
Associate Professor, University of Washington
Verified email at cs.washington.edu - Homepage
TitleCited byYear
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
1982011
Hilbert space embeddings of hidden Markov models
L Song, B Boots, S Siddiqi, G Gordon, A Smola
1902010
Reduced-rank hidden Markov models
S Siddiqi, B Boots, G Gordon
Proceedings of the Thirteenth International Conference on Artificial …, 2010
1202010
A constraint generation approach to learning stable linear dynamical systems
S Siddiqi, B Boots, G Gordon
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF, 2008
109*2008
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
1072017
Deeply aggrevated: Differentiable imitation learning for sequential prediction
W Sun, A Venkatraman, GJ Gordon, B Boots, JA Bagnell
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
982017
An online spectral learning algorithm for partially observable nonlinear dynamical systems
B Boots, GJ Gordon
Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
712011
Hilbert space embeddings of predictive state representations
B Boots, G Gordon, A Gretton
arXiv preprint arXiv:1309.6819, 2013
672013
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
642016
One-shot learning for semantic segmentation
A Shaban, S Bansal, Z Liu, I Essa, B Boots
arXiv preprint arXiv:1709.03410, 2017
612017
Gaussian process motion planning
M Mukadam, X Yan, B Boots
2016 IEEE international conference on robotics and automation (ICRA), 9-15, 2016
522016
Two-manifold problems with applications to nonlinear system identification
B Boots, G Gordon
arXiv preprint arXiv:1206.4648, 2012
472012
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
462016
Predictive state temporal difference learning
B Boots, GJ Gordon
Advances in neural information processing systems, 271-279, 2010
452010
Learning from conditional distributions via dual embeddings
B Dai, N He, Y Pan, B Boots, L Song
arXiv preprint arXiv:1607.04579, 2016
432016
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
392018
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
382017
Learning cognitive maps: Finding useful structure in an uncertain world
E Chown, B Boots
Robotics and Cognitive Approaches to Spatial Mapping, 215-236, 2007
36*2007
Agile off-road 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
352017
Learning to filter with predictive state inference machines
W Sun, A Venkatraman, B Boots, JA Bagnell
International conference on machine learning, 1197-1205, 2016
342016
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