Intelligent Action Selection for NGSO Networks with Interference Constraints: A Modified Q-Learning Approach

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/taes.2021.3130832 ◽

2021 ◽

pp. 1-1

Author(s):

Zixuan Ren ◽

Jin Jin ◽

Wei Li ◽

Yafeng Zhan

Keyword(s):

Action Selection ◽

Learning Approach ◽

Interference Constraints ◽

Q Learning ◽

Selection For ◽

Intelligent Action

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Relay Selection for Wireless Cooperative Networks using Adaptive Q-learning Approach

2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC) ◽

10.1109/csqrwc.2019.8799213 ◽

2019 ◽

Author(s):

Ke Yang ◽

Shengxiang Zhu ◽

Zhenlei Dan ◽

Xiaolan Tang ◽

Xiaohuan Wu ◽

...

Keyword(s):

Relay Selection ◽

Cooperative Networks ◽

Learning Approach ◽

Q Learning ◽

Selection For

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Model free dynamic sensing order selection for imperfect sensing multichannel cognitive radio networks: A Q-learning approach

2014 IEEE International Conference on Communication Systems ◽

10.1109/iccs.2014.7024826 ◽

2014 ◽

Cited By ~ 5

Author(s):

Yalin Zhang ◽

Qinyu Zhang ◽

Bin Cao ◽

Peipei Chen

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Learning Approach ◽

Order Selection ◽

Q Learning ◽

Model Free ◽

Selection For ◽

Free Dynamic ◽

Imperfect Sensing

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DDQP: A Double Deep Q-Learning Approach to Online Fault-tolerant SFC Placement

IEEE Transactions on Network and Service Management ◽

10.1109/tnsm.2021.3049298 ◽

2021 ◽

pp. 1-1

Author(s):

Lei Wang ◽

Weixi Mao ◽

Jin Zhao ◽

Yuedong Xu

Keyword(s):

Fault Tolerant ◽

Learning Approach ◽

Q Learning

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Data-driven tracking control approach for linear systems by on-policy Q-learning approach

2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV) ◽

10.1109/icarcv50220.2020.9305479 ◽

2020 ◽

Author(s):

Zhang Yihan ◽

Xiao Zhenfei ◽

Li Jinna

Keyword(s):

Linear Systems ◽

Tracking Control ◽

Data Driven ◽

Learning Approach ◽

Control Approach ◽

Q Learning

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Q-Learning-Based Target Selection for Bearings-Only Autonomous Navigation

Journal of Systems Science and Complexity ◽

10.1007/s11424-020-9265-y ◽

2021 ◽

Author(s):

Kai Xiong ◽

Chunling Wei

Keyword(s):

Autonomous Navigation ◽

Target Selection ◽

Q Learning ◽

Selection For

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Dynamic traffic steering based on fuzzy Q-Learning approach in a multi-RAT multi-layer wireless network

Computer Networks ◽

10.1016/j.comnet.2014.06.003 ◽

2014 ◽

Vol 71 ◽

pp. 100-116 ◽

Cited By ~ 11

Author(s):

P. Muñoz ◽

D. Laselva ◽

R. Barco ◽

P. Mogensen

Keyword(s):

Wireless Network ◽

Learning Approach ◽

Dynamic Traffic ◽

Q Learning ◽

Traffic Steering

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Fault-tolerant action selection for planetary rover control

10.1117/12.326996 ◽

1998 ◽

Cited By ~ 4

Author(s):

Terrance L. Huntsberger

Keyword(s):

Fault Tolerant ◽

Action Selection ◽

Planetary Rover ◽

Selection For

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Dynamic Pricing Decision for Perishable Goods: A Q-Learning Approach

2008 4th International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2008.2786 ◽

2008 ◽

Cited By ~ 1

Author(s):

Yan Cheng

Keyword(s):

Dynamic Pricing ◽

Learning Approach ◽

Q Learning ◽

Perishable Goods ◽

Pricing Decision

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A Q-learning approach to automated unmanned air vehicle demining

The Journal of Defense Modeling and Simulation Applications Methodology Technology ◽

10.1177/1548512911414599 ◽

2011 ◽

Vol 9 (1) ◽

pp. 83-92 ◽

Cited By ~ 6

Author(s):

Silvia Ferrari ◽

Greyson Daugherty

Keyword(s):

Learning Approach ◽

Q Learning ◽

Unmanned Air Vehicle ◽

Air Vehicle

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Intelligent neighbor selection for efficient query routing in unstructured P2P networks using Q-learning

Applied Intelligence ◽

10.1007/s10489-021-02793-6 ◽

2021 ◽

Author(s):

Mohammad Shoab ◽

Saad Al Jubayrin

Keyword(s):

P2p Networks ◽

Query Routing ◽

Q Learning ◽

Unstructured P2p ◽

Selection For ◽

Neighbor Selection

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