Distributed Beamforming Techniques for Cell-Free Wireless Networks Using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Distributed Beamforming Techniques for Cell-Free Wireless Networks Using Deep Reinforcement Learning

Author:

Fredj Firas¹^ORCID,Al-Eryani Yasser¹^ORCID,Maghsudi Setareh²,Akrout Mohamed¹^ORCID,Hossain Ekram¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada

2. Department of Computer Science, University of Tübingen, Tübingen, Germany

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture

Link

Reference44 articles.

1. Deterministic policy gradient algorithms;silver;Proc 31st Int Conf Mach Learn,2014

2. Deep reinforcement learning with double Q-learning;van hasselt;Proc 30th AAAI Conf Artif Intell,2016

3. Continuous control with deep reinforcement learning;lillicrap;arXiv 1509 02971,2015

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