Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees

10 May 2021

Papers citing "Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees"

7 / 7 papers shown

Title
A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel Access Chen Zhong Ziyang Lu M. C. Gursoy Senem Velipasalar 40 79 0 20 Aug 2019
Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach Hao-Hsuan Chang Hao Song Yuhao Yi Jianzhong Zhang Haibo He Lingjia Liu 40 165 0 28 Oct 2018
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey Nguyen Cong Luong D. Hoang Shimin Gong Dusit Niyato Ping Wang Ying-Chang Liang Dong In Kim OffRL 88 1,442 0 18 Oct 2018
Action Branching Architectures for Deep Reinforcement Learning Arash Tavakoli Fabio Pardo Petar Kormushev 55 264 0 24 Nov 2017
Spectrum Access In Cognitive Radio Using A Two Stage Reinforcement Learning Approach Vishnu Raj Irene Dias Thulasi Tholeti Sheetal Kalyani 30 88 0 31 Jul 2017
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,769 0 20 Nov 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 132 12,272 0 19 Dec 2013