Machine Learning Technologies: Deep Learning, Reinforcement Learning and Q-Learning
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (19 August 2022) | Viewed by 4668
Special Issue Editors
Interests: artificial intelligence; cybersecurity; malware; privacy; OSINT
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; cybersecurity; digital twin; cloud and IoT
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Machine learning technology is contributing to technological development such as robots, autonomous driving, sound recognition, and prediction, starting with computer vision and pattern recognition. In particular, deep-learning technology is improving and expanding to reinforcement learning and Q-learning.
This Special Issue aims to publish original research of the highest scientific quality related to deep learning, reinforcement learning, and Q-learning, the latest research trends in machine learning technology. We invite original and unpublished submissions that feature innovative methods for enhancing modeling, learning and testing, dataset creation and processing, and the utilization of deep learning, reinforcement learning, and Q-learning.
The scope includes theoretical and experimental studies that contribute to novel developments in fundamental research and its applications.
Dr. Eunjung Choi
Dr. Jiyeon Kim
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- deep learning
- reinforcement learning
- Q-learning
- machine learning for cybersecurity
- machine learning for the internet of things
- machine learning for computer and network systems
- machine learning for privacy
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