Brian Hou
Brian Hou
Verified email at cs.uw.edu
Title
Cited by
Cited by
Year
Dex-net 1.0: A cloud-based network of 3d objects for robust grasp planning using a multi-armed bandit model with correlated rewards
J Mahler, FT Pokorny, B Hou, M Roderick, M Laskey, M Aubry, K Kohlhoff, ...
2016 IEEE international conference on robotics and automation (ICRA), 1957-1964, 2016
2362016
Bayesian policy optimization for model uncertainty
G Lee, B Hou, A Mandalika, J Lee, S Choudhury, SS Srinivasa
arXiv preprint arXiv:1810.01014, 2018
182018
Problems before solutions: Automated problem clarification at scale
S Basu, A Wu, B Hou, J DeNero
Proceedings of the Second (2015) ACM Conference on Learning@ Scale, 205-213, 2015
172015
Fuzz testing projects in massive courses
S Sridhara, B Hou, J Lu, J DeNero
Proceedings of the Third (2016) ACM Conference on Learning@ Scale, 361-367, 2016
132016
Privacy-preserving grasp planning in the cloud
J Mahler, B Hou, S Niyaz, FT Pokorny, R Chandra, K Goldberg
2016 IEEE International Conference on Automation Science and Engineering …, 2016
92016
Efficient motion planning for problems lacking optimal substructure
O Salzman, B Hou, S Srinivasa
Proceedings of the International Conference on Automated Planning and …, 2017
82017
Sample-efficient learning of nonprehensile manipulation policies via physics-based informed state distributions
L Pinto, A Mandalika, B Hou, S Srinivasa
arXiv preprint arXiv:1810.10654, 2018
72018
Posterior sampling for anytime motion planning on graphs with expensive-to-evaluate edges
B Hou, S Choudhury, G Lee, A Mandalika, SS Srinivasa
2020 IEEE International Conference on Robotics and Automation (ICRA), 4266-4272, 2020
32020
Deep Conditional Generative Models for Heuristic Search on Graphs with Expensive-to-Evaluate Edges
B Hou, S Srinivasa
Online]. Avail-able: https://personalrobotics. cs. washington. edu/workshops …, 0
1
Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning
A Mandalika, R Scalise, B Hou, S Choudhury, SS Srinivasa
arXiv preprint arXiv:2104.05037, 2021
2021
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts
G Lee, B Hou, S Choudhury, SS Srinivasa
arXiv preprint arXiv:2002.03042, 2020
2020
Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes
G Lee, S Choudhury, B Hou, SS Srinivasa
arXiv preprint arXiv:1810.03048, 2018
2018
Residual Bayesian Q-Learning for Meta-Reinforcement Learning with Experts
G Lee, S Choudhury, B Hou, SS Srinivasa
Collision Posteriors on Graphs with Expensive-to-Evaluate Edges
B Hou, S Choudhury, G Lee, M Barnes, SS Srinivasa
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Articles 1–14