Problems Before Solutions: Automated Problem Clarification at Scale. - Soumya Basu 003; Albert Wu; Brian Hou; John DeNero (L@S, 2015)

Privacy-preserving Grasp Planning in the Cloud. - Jeffrey Mahler; Brian Hou; Sherdil Niyaz; Florian T. Pokorny; Ramu Chandra; Ken Goldberg (CASE, 2016)

Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards. - Jeffrey Mahler; Florian T. Pokorny; Brian Hou; Melrose Roderick; Michael Laskey; Mathieu Aubry; Kai Kohlhoff; Torsten Kröger; James J. Kuffner; Ken Goldberg (ICRA, 2016)

Fuzz Testing Projects in Massive Courses. - Sumukh Sridhara; Brian Hou; Jeffrey Lu; John DeNero (L@S, 2016)

Nifty Assignments. - 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; et al. (SIGCSE, 2016)

Efficient Motion Planning for Problems Lacking Optimal Substructure. - Oren Salzman; Brian Hou; Siddhartha S. Srinivasa (ICAPS, 2017)

Bayesian Policy Optimization for Model Uncertainty. - Gilwoo Lee; Brian Hou; Aditya Mandalika; Jeongseok Lee; Siddhartha S. Srinivasa (CoRR, 2018)

Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes. - Gilwoo Lee; Sanjiban Choudhury; Brian Hou; Siddhartha S. Srinivasa (CoRR, 2018)

Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions. - Lerrel Pinto; Aditya Mandalika; Brian Hou; Siddhartha S. Srinivasa (CoRR, 2018)

Bayesian Policy Optimization for Model Uncertainty. - Gilwoo Lee; Brian Hou; Aditya Mandalika; Jeongseok Lee; Sanjiban Choudhury; Siddhartha S. Srinivasa (ICLR (Poster), 2019)

Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. - Brian Hou; Sanjiban Choudhury; Gilwoo Lee; Aditya Mandalika; Siddhartha S. Srinivasa (ICRA, 2020)

Bayesian Residual Policy Optimization: : Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. - Gilwoo Lee; Brian Hou; Sanjiban Choudhury; Siddhartha S. Srinivasa (IROS, 2021)

Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. - Aditya Mandalika; Rosario Scalise; Brian Hou; Sanjiban Choudhury; Siddhartha S. Srinivasa (CoRR, 2021)

Stein Variational Probabilistic Roadmaps. - Alexander Lambert; Brian Hou; Rosario Scalise; Siddhartha S. Srinivasa; Byron Boots (ICRA, 2022)

Dynamic Replanning with Posterior Sampling. - Brian Hou; Siddhartha S. Srinivasa (IROS, 2022)

GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. - Rosario Scalise; Aditya Mandalika; Brian Hou; Sanjiban Choudhury; Siddhartha S. Srinivasa (ICRA, 2023)

Robot Motion Planning with Uncertainty and Urgency - Brian Hou (2023)

Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving. - Matt Schmittle; Rohan Baijal; Brian Hou; Siddhartha S. Srinivasa; Byron Boots (ICRA, 2024)