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07/25/2023
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation
We study Bayesian optimization (BO) in high-dimensional and non-stationa...
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03/09/2022
MLNav: Learning to Safely Navigate on Martian Terrains
We present MLNav, a learning-enhanced path planning framework for safety...
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06/09/2021
Learning Pseudo-Backdoors for Mixed Integer Programs
We propose a machine learning approach for quickly solving Mixed Integer...
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11/11/2020
Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version)
Enhanced AutoNav (ENav), the baseline surface navigation software for NA...
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03/29/2020
A General Large Neighborhood Search Framework for Solving Integer Programs
This paper studies how to design abstractions of large-scale combinatori...
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07/03/2019
Co-training for Policy Learning
We study the problem of learning sequential decision-making policies in ...
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11/15/2018
Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes
We apply numerical methods in combination with finite-difference-time-do...
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11/02/2018
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
How can we efficiently gather information to optimize an unknown functio...
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04/03/2018
Learning to Search via Self-Imitation
We study the problem of learning a good search policy. To do so, we prop...
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10/30/2017