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Brian Hou

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Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving

Mar 17, 2024
Matt Schmittle, Rohan Baijal, Brian Hou, Siddhartha Srinivasa, Byron Boots

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Stein Variational Probabilistic Roadmaps

Nov 04, 2021
Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots

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Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning

Apr 11, 2021
Aditya Mandalika, Rosario Scalise, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa

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Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges

Mar 20, 2020
Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa

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Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts

Feb 07, 2020
Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa

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Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions

Oct 24, 2018
Lerrel Pinto, Aditya Mandalika, Brian Hou, Siddhartha Srinivasa

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Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes

Oct 06, 2018
Gilwoo Lee, Sanjiban Choudhury, Brian Hou, Siddhartha S. Srinivasa

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Bayesian Policy Optimization for Model Uncertainty

Oct 01, 2018
Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Siddhartha S. Srinivasa

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Efficient motion planning for problems lacking optimal substructure

Mar 09, 2017
Oren Salzman, Brian Hou, Siddhartha Srinivasa

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