{"publication_identifier":{"issn":["0005-1098"]},"language":[{"iso":"eng"}],"citation":{"bibtex":"@article{Leong_Ramaswamy_Quevedo_Karl_Shi_2019, title={Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems}, volume={113}, DOI={<a href=\"https://doi.org/10.1016/j.automatica.2019.108759\">10.1016/j.automatica.2019.108759</a>}, number={108759}, journal={Automatica}, publisher={Elsevier BV}, author={Leong, Alex S. and Ramaswamy, Arunselvan and Quevedo, Daniel E. and Karl, Holger and Shi, Ling}, year={2019} }","short":"A.S. Leong, A. Ramaswamy, D.E. Quevedo, H. Karl, L. Shi, Automatica 113 (2019).","ieee":"A. S. Leong, A. Ramaswamy, D. E. Quevedo, H. Karl, and L. Shi, “Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems,” <i>Automatica</i>, vol. 113, Art. no. 108759, 2019, doi: <a href=\"https://doi.org/10.1016/j.automatica.2019.108759\">10.1016/j.automatica.2019.108759</a>.","mla":"Leong, Alex S., et al. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical Systems.” <i>Automatica</i>, vol. 113, 108759, Elsevier BV, 2019, doi:<a href=\"https://doi.org/10.1016/j.automatica.2019.108759\">10.1016/j.automatica.2019.108759</a>.","chicago":"Leong, Alex S., Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, and Ling Shi. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical Systems.” <i>Automatica</i> 113 (2019). <a href=\"https://doi.org/10.1016/j.automatica.2019.108759\">https://doi.org/10.1016/j.automatica.2019.108759</a>.","apa":"Leong, A. S., Ramaswamy, A., Quevedo, D. E., Karl, H., &#38; Shi, L. (2019). Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems. <i>Automatica</i>, <i>113</i>, Article 108759. <a href=\"https://doi.org/10.1016/j.automatica.2019.108759\">https://doi.org/10.1016/j.automatica.2019.108759</a>","ama":"Leong AS, Ramaswamy A, Quevedo DE, Karl H, Shi L. Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems. <i>Automatica</i>. 2019;113. doi:<a href=\"https://doi.org/10.1016/j.automatica.2019.108759\">10.1016/j.automatica.2019.108759</a>"},"year":"2019","_id":"35583","publisher":"Elsevier BV","article_number":"108759","publication":"Automatica","date_created":"2023-01-09T16:44:58Z","status":"public","author":[{"full_name":"Leong, Alex S.","first_name":"Alex S.","last_name":"Leong"},{"full_name":"Ramaswamy, Arunselvan","last_name":"Ramaswamy","first_name":"Arunselvan"},{"full_name":"Quevedo, Daniel E.","last_name":"Quevedo","first_name":"Daniel E."},{"full_name":"Karl, Holger","last_name":"Karl","first_name":"Holger"},{"full_name":"Shi, Ling","last_name":"Shi","first_name":"Ling"}],"intvolume":"       113","type":"journal_article","user_id":"158","title":"Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems","date_updated":"2023-01-09T16:45:15Z","publication_status":"published","volume":113,"department":[{"_id":"57"}],"keyword":["Electrical and Electronic Engineering","Control and Systems Engineering"],"doi":"10.1016/j.automatica.2019.108759"}