Byron Boots

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Ching-An ChengMicrosoft ResearchVerified email at microsoft.com
Xinyan (Shane) YanAurora InnovationVerified email at aurora.tech
Mustafa MukadamResearch Scientist, FAIRVerified email at fb.com
Dieter FoxUniversity of Washington and NVIDIAVerified email at cs.washington.edu
Evangelos TheodorouGeorgia Institute of TechnologyVerified email at ae.gatech.edu
Nathan RatliffNVIDIAVerified email at nvidia.com
Geoff GordonProfessor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Amirreza ShabanPostdoctoral Researcher, University of WashingtonVerified email at uw.edu
J. Andrew BagnellCarnegie Mellon UniversityVerified email at ri.cmu.edu
Frank DellaertProfessor, Georgia TechVerified email at cc.gatech.edu
Yunpeng PanGeorgia Institute of TechnologyVerified email at gatech.edu
Sajid SiddiqiGoogleVerified email at google.com
Wen SunAssistant Professor, Cornell UniversityVerified email at cornell.edu
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
Jing DongReality Labs Research, MetaVerified email at oculus.com
Arun VenkatramanAurora Innovation / past: Carnegie Mellon UniversityVerified email at cs.cmu.edu
Alexander LambertPostdoctoral scholar, University of WashingtonVerified email at cs.washington.edu
Muhammad Asif RanaGeorgia Institute of TechnologyVerified email at gatech.edu
Arunkumar ByravanResearch Scientist, DeepMindVerified email at google.com
Siddhartha SrinivasaBoeing Endowed Professor, University of WashingtonVerified email at cs.washington.edu

Byron Boots

Associate Professor, University of Washington

Verified email at cs.washington.edu - Homepage

Machine Learning Artificial Intelligence Robotics


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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	360	2017
One-shot learning for semantic segmentation A Shaban, S Bansal, Z Liu, I Essa, B Boots arXiv preprint arXiv:1709.03410, 2017	320	2017
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	255	2011
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	238	2017
Hilbert space embeddings of hidden Markov models L Song, B Boots, S Siddiqi, G Gordon, A Smola	228	2010
Differentiable mpc for end-to-end planning and control B Amos, I Jimenez, J Sacks, B Boots, JZ Kolter Advances in neural information processing systems 31, 2018	216	2018
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	198	2017
A constraint generation approach to learning stable linear dynamical systems S Siddiqi, B Boots, G Gordon CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF, 2008	139*	2008
Reduced-rank hidden Markov models S Siddiqi, B Boots, G Gordon Proceedings of the Thirteenth International Conference on Artificial …, 2010	136	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	132	2018
Truncated back-propagation for bilevel optimization A Shaban, CA Cheng, N Hatch, B Boots The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	118	2019
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	107	2016
Learning from conditional distributions via dual embeddings B Dai, N He, Y Pan, B Boots, L Song Artificial Intelligence and Statistics, 1458-1467, 2017	99	2017
Gaussian process motion planning M Mukadam, X Yan, B Boots 2016 IEEE international conference on robotics and automation (ICRA), 9-15, 2016	96	2016
Hilbert space embeddings of predictive state representations B Boots, G Gordon, A Gretton arXiv preprint arXiv:1309.6819, 2013	92	2013
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	82	2017
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), 293-300, 2011	77	2011
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	75	2018
Variational inference for Gaussian process models with linear complexity CA Cheng, B Boots Advances in Neural Information Processing Systems 30, 2017	72	2017
Truncated horizon policy search: Combining reinforcement learning & imitation learning W Sun, JA Bagnell, B Boots arXiv preprint arXiv:1805.11240, 2018	68	2018

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