Reinforcement Learning in the Sky: A Survey on Enabling Intelligence in NTN-Based Communications-Reference-Cited by-同舟云学术

Reinforcement Learning in the Sky: A Survey on Enabling Intelligence in NTN-Based Communications

Author:

Naous Tarek¹^ORCID,Itani May²^ORCID,Awad Mariette¹^ORCID,Sharafeddine Sanaa³

Affiliation:

1. Electrical and Computer Engineering Department, American University of Beirut, Beirut, Lebanon

2. Mathematics and Computer Science Department, Beirut Arab University, Beirut, Lebanon

3. Department of Computer Science, American University of Beirut, Beirut, Lebanon

Funder

Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference221 articles.

1. ProMP: Proximal meta-policy search;rothfuss;arXiv 1810 06784,2018

3. A simple neural attentive meta-learner;mishra;arXiv 1707 03141,2017

5. Asynchronous methods for deep reinforcement learning;mnih;Proc Int Conf Mach Learn,2016

Cited by 13 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. Energy-Efficient Resource Allocation in LEO-assisted Open RAN architecture towards 6G;2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB);2024-06-19