Anomaly Detection Under Controlled Sensing Using Actor-Critic Reinforcement Learning-Reference-Cited by-同舟云学术

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Anomaly Detection Under Controlled Sensing Using Actor-Critic Reinforcement Learning

Published:2020-05 Issue: Volume: Page:
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Container-title:2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
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Author:

Joseph Geethu,Gursoy M. Cenk,Varshney Pramod K.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9144330/9153881/09154275.pdf?arnumber=9154275

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Anomaly Detection via Learning-Based Sequential Controlled Sensing;IEEE Sensors Journal;2024-07-01

2. Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing;IEEE Transactions on Signal and Information Processing over Networks;2023

3. Anatomization of air quality prediction using neural networks, regression and hybrid models;Journal of Cleaner Production;2022-10

4. Decentralized Anomaly Detection via Deep Multi-Agent Reinforcement Learning;2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton);2022-09-27

5. Controlled Sensing and Anomaly Detection Via Soft Actor-Critic Reinforcement Learning;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23

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