Cost-effective dynamic sampling in high dimensional online monitoring with advantage actor-critic
Authors:
- 21 January 2025
- journal article
- research article
- Published by Taylor & Francis in International Journal of Production Research
- p. 1-20
Abstract
No abstract availableKeywords
Funding Information
- Department of Energy (DE-NE0009404)
- Oak Ridge Institute for Science and Education (DE-SC0014664)
This publication has 53 references indexed in Scilit:
- Deep reinforcement learning applied to an assembly sequence planning problem with user preferencesThe International Journal of Advanced Manufacturing Technology, 2022
- Intelligent video anomaly detection and classification using faster RCNN with deep reinforcement learning modelImage and Vision Computing, 2021
- Robust Adaptive Cloud Intrusion Detection System Using Advanced Deep Reinforcement Learning2020
- Deep Reinforcement Learning Based Resource Allocation For Narrowband Cognitive Radio-IoT SystemsProcedia Computer Science, 2020
- Deep Reinforcement Learning2020
- Designing online network intrusion detection using deep auto-encoder Q-learningComputers and Electrical Engineering, 2019
- Variable sampling interval Shewhart control charts for monitoring the multivariate coefficient of variationApplied Stochastic Models in Business and Industry, 2019
- Multivariate nonparametric control chart with variable sampling intervalApplied Mathematical Modelling, 2017
- Deep learning in neural networks: An overviewNeural Networks, 2015
- Error bounds for constant step-size -learningSystems & Control Letters, 2012