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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

* Submitted to IROS 2021 

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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

* ICRA 2020 

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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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