MUSK-DQN: Multi-UBS Selective-K Deep Q-Network for Maximizing Energy-Efficiency

Author:

Lee Seungmin1,Lee Howon1

Affiliation:

1. School of Electronic and Electrical Engineering and IITC Hankyong National University,Anseong,South Korea,17579

Funder

National Research Foundation of Korea (NRF)

Publisher

IEEE

Cited by 3 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. DQN Algorithm Design for Fast Efficient Shortest Path System;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

2. A Survey on Deep Learning-based Resource Allocation Schemes;2023 14th International Conference on Information and Communication Technology Convergence (ICTC);2023-10-11

3. Deep Learning in the Ubiquitous Human–Computer Interactive 6G Era: Applications, Principles and Prospects;Biomimetics;2023-08-02

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