Safe and Robust Binary Classification and Fault Detection Using Reinforcement Learning

Safe and Robust Binary Classification and Fault Detection Using Reinforcement Learning

In this paper, we propose a learning-based method utilizing the Soft Actor-Critic (SAC) algorithm to train a binary Support Vector Machine (SVM) classifier. This classifier is designed to identify valid input spaces in high-dimensional, highly constrained systems while minimizing the total runtime o...

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Bibliographic Details
Main Authors: Josh Netter, Kyriakos G. Vamvoudakis, Timothy F. Walsh, Jaideep Ray
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Control Systems
Subjects:
Machine learning
reinforcement learning
robust control
Online Access:https://ieeexplore.ieee.org/document/11010134/
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https://ieeexplore.ieee.org/document/11010134/

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