Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks-Reference-Cited by-同舟云学术

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Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks

Published:2020 Issue: Volume:8 Page:199254-199265
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Acernese Antonio^ORCID,Yerudkar Amol^ORCID,Glielmo Luigi^ORCID,Vecchio Carmen Del^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09246500.pdf?arnumber=9246500

Cited by 18 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. Feedback stabilization of probabilistic finite state machines based on deep Q-network;Frontiers in Computational Neuroscience;2024-05-02

2. Fault Detectability of Asynchronous Delayed Boolean Control Networks With Sampled-Data Control;IEEE Transactions on Network Science and Engineering;2024-01

3. Output Feedback Control for Set Stabilization of Asynchronous Boolean Control Networks with Double Q-Learning Algorithm;2023 China Automation Congress (CAC);2023-11-17

4. Design of reduced-order and pinning controllers for probabilistic Boolean networks using reinforcement learning;Applied Mathematics and Computation;2023-11

5. A survey on applications of the semi‐tensor product method in Boolean control networks with time delays;Engineering Reports;2023-08-29

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