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01/27/2023
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States
Learning-based control approaches have shown great promise in performing...
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08/23/2022
Probabilistic Safe Online Learning with Control Barrier Functions
Learning-based control schemes have recently shown great efficacy perfor...
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08/13/2022
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
Recent advances in the reinforcement learning (RL) literature have enabl...
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06/13/2021
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty
Control Barrier Functions (CBFs) and Control Lyapunov Functions (CLFs) a...
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11/14/2020
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects
This paper presents a method to design a min-norm Control Lyapunov Funct...
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04/16/2020
Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions
In this paper, the issue of model uncertainty in safety-critical control...
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04/15/2020
