Brian Hou

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 22

Top Topics

Continuous Space

Bayesian Reinforcement Learning

Motion Planning

Top Venues

Publications

Matt Schmittle, Rohan Baijal, Brian Hou, Siddhartha S. Srinivasa, Byron Boots
Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving. ICRA (2024)
Matt Schmittle, Rohan Baijal, Brian Hou, Siddhartha S. Srinivasa, Byron Boots
Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving. CoRR (2024)
Rosario Scalise, Aditya Mandalika, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. ICRA (2023)
Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots
Stein Variational Probabilistic Roadmaps. ICRA (2022)
Brian Hou, Siddhartha S. Srinivasa
Dynamic Replanning with Posterior Sampling. IROS (2022)
Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots
Stein Variational Probabilistic Roadmaps. CoRR (2021)
Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
Bayesian Residual Policy Optimization: : Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. IROS (2021)
Aditya Mandalika, Rosario Scalise, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. CoRR (2021)
Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa
Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. ICRA (2020)
Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa
Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. CoRR (2020)
Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. CoRR (2020)
Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa
Bayesian Policy Optimization for Model Uncertainty. ICLR (Poster) (2019)
Gilwoo Lee, Sanjiban Choudhury, Brian Hou, Siddhartha S. Srinivasa
Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes. CoRR (2018)
Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Siddhartha S. Srinivasa
Bayesian Policy Optimization for Model Uncertainty. CoRR (2018)
Lerrel Pinto, Aditya Mandalika, Brian Hou, Siddhartha S. Srinivasa
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions. CoRR (2018)
Oren Salzman, Brian Hou, Siddhartha S. Srinivasa
Efficient Motion Planning for Problems Lacking Optimal Substructure. ICAPS (2017)
Oren Salzman, Brian Hou, Siddhartha S. Srinivasa
Efficient motion planning for problems lacking optimal substructure. CoRR (2017)
Sumukh Sridhara, Brian Hou, Jeffrey Lu, John DeNero
Fuzz Testing Projects in Massive Courses. L@S (2016)
Nick Parlante, Julie Zelenski, Baker Franke, Arvind Bhusnurmath, Karen Her, Kristen Gee, Eric D. Manley, Timothy Urness, Marvin Zhang, Brian Hou, John DeNero, Josh Hug, Kevin Wayne
Nifty Assignments. SIGCSE (2016)
Jeffrey Mahler, Florian T. Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kröger, James J. Kuffner, Ken Goldberg
Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards. ICRA (2016)
Jeffrey Mahler, Brian Hou, Sherdil Niyaz, Florian T. Pokorny, Ramu Chandra, Ken Goldberg
Privacy-preserving Grasp Planning in the Cloud. CASE (2016)
Soumya Basu, Albert Wu, Brian Hou, John DeNero
Problems Before Solutions: Automated Problem Clarification at Scale. L@S (2015)