An auction-based approach to spectrum allocation using multi-agent reinforcement learning

21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications ◽

10.1109/pimrc.2010.5671682 ◽

2010 ◽

Author(s):

Nadeem Abji ◽

Alberto Leon-Garcia

Keyword(s):

Reinforcement Learning ◽

Spectrum Allocation ◽

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Priority-based reserved spectrum allocation by multi-agent through reinforcement learning in cognitive radio network

10.1080/00051144.2019.1674512 ◽

2019 ◽

Vol 60 (5) ◽

pp. 564-569 ◽

Author(s):

B. Jaishanthi ◽

E. N. Ganesh ◽

D. Sheela

Keyword(s):

Reinforcement Learning ◽

Cognitive Radio ◽

Cognitive Radio Network ◽

Spectrum Allocation ◽

Radio Network ◽

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Multi-Agent Deep Reinforcement Learning Based Spectrum Allocation for D2D Underlay Communications

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2019.2961405 ◽

2020 ◽

Vol 69 (2) ◽

pp. 1828-1840 ◽

Author(s):

Zheng Li ◽

Caili Guo

Keyword(s):

Reinforcement Learning ◽

Spectrum Allocation ◽

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A Multi-Agent Deep Reinforcement Learning Based Spectrum Allocation Framework for D2D Communications

2019 IEEE Global Communications Conference (GLOBECOM) ◽

10.1109/globecom38437.2019.9013763 ◽

2019 ◽

Author(s):

Zheng Li ◽

Caili Guo ◽

Yidi Xuan

Keyword(s):

Reinforcement Learning ◽

Spectrum Allocation ◽

D2d Communications ◽

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Stateless Reinforcement Learning for Multi-Agent Systems: the Case of Spectrum Allocation in Dynamic Channel Bonding WLANs

2021 Wireless Days (WD) ◽

10.1109/wd52248.2021.9508323 ◽

2021 ◽

Author(s):

Sergio Barrachina-Munoz ◽

Alessandro Chiumento ◽

Boris Bellalta

Keyword(s):

Reinforcement Learning ◽

Spectrum Allocation ◽

Multi Agent Systems ◽

Agent Systems ◽

Channel Bonding ◽

Multi Agent ◽

Dynamic Channel

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Multi-Agent Deep Reinforcement Learning for Decentralized Cooperative Traffic Signal Control

10.1061/9780784483053.039 ◽

2020 ◽

Author(s):

Yang Zhao ◽

Jian-Ming Hu ◽

Ming-Yang Gao ◽

Zuo Zhang

Keyword(s):

Reinforcement Learning ◽

Traffic Signal ◽

Signal Control ◽

Traffic Signal Control ◽

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Cognitive Radio Networks with Reinforcement Learning Algorithms for Spectrum Allocation: A Survey

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2020/211952020 ◽

2020 ◽

Vol 9 (5) ◽

pp. 8371-8384

Keyword(s):

Reinforcement Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Learning Algorithms ◽

Radio Networks ◽

Spectrum Allocation

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Output feedback reinforcement learning based optimal output synchronisation of heterogeneous discrete-time multi-agent systems

IET Control Theory and Applications ◽

10.1049/iet-cta.2018.6266 ◽

2019 ◽

Vol 13 (17) ◽

pp. 2866-2876

Author(s):

Syed Ali Asad Rizvi ◽

Zongli Lin

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Output Feedback ◽

Multi Agent Systems ◽

Agent Systems ◽

Optimal Output ◽

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Multi-agent deep reinforcement learning with type-based hierarchical group communication

Applied Intelligence ◽

10.1007/s10489-020-02065-9 ◽

2021 ◽

Author(s):

Hao Jiang ◽

Dianxi Shi ◽

Chao Xue ◽

Yajie Wang ◽

Gongju Wang ◽

...

Keyword(s):

Reinforcement Learning ◽

Group Communication ◽

Multi Agent ◽

Hierarchical Group

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Multi-Agent Deep Reinforcement Learning Based Cooperative Edge Caching for Ultra-Dense Next-Generation Networks

IEEE Transactions on Communications ◽

10.1109/tcomm.2020.3044298 ◽

2020 ◽

pp. 1-1

Author(s):

Shuangwu Chen ◽

Zhen Yao ◽

Xiaofeng Jiang ◽

Jian Yang ◽

Lajos Hanzo

Keyword(s):

Reinforcement Learning ◽

Next Generation Networks ◽

Next Generation ◽

Multi Agent ◽

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Coordinated Ramp Metering Control Based on Multi-Agent Reinforcement Learning

2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) ◽

10.1109/yac51587.2020.9337711 ◽

2020 ◽

Author(s):

Jiyuan Tan ◽

Qianqian Qiu ◽

Weiwei Guo

Keyword(s):

Reinforcement Learning ◽

Ramp Metering ◽

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