A Dynamic Deep Reinforcement Learning-Bayesian Framework for Anomaly Detection-Reference-Cited by-同舟云学术

A Dynamic Deep Reinforcement Learning-Bayesian Framework for Anomaly Detection

Author:

Watts Jeremy¹^ORCID,Van Wyk Franco²,Rezaei Shahrbanoo¹^ORCID,Wang Yiyang³^ORCID,Masoud Neda¹^ORCID,Khojandi Anahita¹^ORCID

Affiliation:

1. Department of Industrial and Systems Engineering, The University of Tennessee Knoxville, Knoxville, TN, USA

2. Department of Industrial Engineering, Stellenbosch University, Stellenbosch, South Africa

3. Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference39 articles.

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4. TensorFlow: A system for large-scale machine learning;abadi;Proc USENIX Symp on Operating System Design and Implementation,2016

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