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11/18/2021
Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations
This paper addresses learning safe control laws from expert demonstratio...
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02/18/2021
Closing the Closed-Loop Distribution Shift in Safe Imitation Learning
Commonly used optimization-based control strategies such as model-predic...
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01/16/2021
Learning Robust Hybrid Control Barrier Functions for Uncertain Systems
The need for robust control laws is especially important in safety-criti...
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11/08/2020
Learning Hybrid Control Barrier Functions from Data
Motivated by the lack of systematic tools to obtain safe control laws fo...
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05/20/2020
Model-Based Robust Deep Learning
While deep learning has resulted in major breakthroughs in many applicat...
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04/07/2020
Learning Control Barrier Functions from Expert Demonstrations
Inspired by the success of imitation and inverse reinforcement learning ...
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09/30/2019
Optimal Algorithms for Submodular Maximization with Distributed Constraints
We consider a class of discrete optimization problems that aim to maximi...
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06/12/2019