The PLOS ONE Editors retract this article [1] because it was identified as one of a series of submissions for which we have concerns about peer review integrity and similarities across articles. These concerns call into question the validity and provenance of the reported results. We regret that the issues were not identified prior to the article’s publication.
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Reference
- 1. Li M, Li H (2020) Application of deep neural network and deep reinforcement learning in wireless communication. PLoS ONE 15(7): e0235447. https://doi.org/10.1371/journal.pone.0235447 pmid:32614858
Citation: The PLOS ONE Editors (2024) Retraction: Application of deep neural network and deep reinforcement learning in wireless communication. PLoS ONE 19(11): e0313643. https://doi.org/10.1371/journal.pone.0313643
Published: November 7, 2024
Copyright: © 2024 The PLOS ONE Editors. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.