Brian Hou - RankMe

23 papers A* 6A 3B 2Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving. ICRA Matt Schmittle, Rohan Baijal, Brian Hou, Siddhartha S. Srinivasa, Byron Boots
2024	J	`jnl`	Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving. CoRR Matt Schmittle, Rohan Baijal, Brian Hou, Siddhartha S. Srinivasa, Byron Boots
2023	A*	`conf`	GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. ICRA Rosario Scalise, Aditya Mandalika, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
2023	—	`—`	Robot Motion Planning with Uncertainty and Urgency Brian Hou
2022	A	`conf`	Dynamic Replanning with Posterior Sampling. IROS Brian Hou, Siddhartha S. Srinivasa
2022	A*	`conf`	Stein Variational Probabilistic Roadmaps. ICRA Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots
2021	A	`conf`	Bayesian Residual Policy Optimization: : Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. IROS Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
2021	J	`jnl`	Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. CoRR Aditya Mandalika, Rosario Scalise, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
2021	J	`jnl`	Stein Variational Probabilistic Roadmaps. CoRR Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots
2020	J	`jnl`	Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. CoRR Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
2020	A*	`conf`	Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. ICRA Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa
2020	J	`jnl`	Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. CoRR Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa
2019	—	`conf`	Bayesian Policy Optimization for Model Uncertainty. ICLR (Poster) Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa
2018	J	`jnl`	Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes. CoRR Gilwoo Lee, Sanjiban Choudhury, Brian Hou, Siddhartha S. Srinivasa
2018	J	`jnl`	Bayesian Policy Optimization for Model Uncertainty. CoRR Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Siddhartha S. Srinivasa
2018	J	`jnl`	Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions. CoRR Lerrel Pinto, Aditya Mandalika, Brian Hou, Siddhartha S. Srinivasa
2017	A*	`conf`	Efficient Motion Planning for Problems Lacking Optimal Substructure. ICAPS Oren Salzman, Brian Hou, Siddhartha S. Srinivasa
2017	J	`jnl`	Efficient motion planning for problems lacking optimal substructure. CoRR Oren Salzman, Brian Hou, Siddhartha S. Srinivasa
2016	A*	`conf`	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 Jeffrey Mahler, Florian T. Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kröger, James J. Kuffner, Ken Goldberg
2016	B	`conf`	Fuzz Testing Projects in Massive Courses. L@S Sumukh Sridhara, Brian Hou, Jeffrey Lu, John DeNero
2016	A	`conf`	Nifty Assignments. SIGCSE 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
2016	—	`conf`	Privacy-preserving Grasp Planning in the Cloud. CASE Jeffrey Mahler, Brian Hou, Sherdil Niyaz, Florian T. Pokorny, Ramu Chandra, Ken Goldberg
2015	B	`conf`	Problems Before Solutions: Automated Problem Clarification at Scale. L@S Soumya Basu, Albert Wu, Brian Hou, John DeNero