Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments

Charles E. Thornton; Mark A. Kozy; R. Michael Buehrer; Anthony F. Martone; Kelly D. Sherbondy

doi:10.1109/tccn.2020.3019605

Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments

IEEE Transactions on Cognitive Communications and Networking ◽

10.1109/tccn.2020.3019605 ◽

2020 ◽

Vol 6 (4) ◽

pp. 1335-1349

Author(s):

Charles E. Thornton ◽

Mark A. Kozy ◽

R. Michael Buehrer ◽

Anthony F. Martone ◽

Kelly D. Sherbondy

Keyword(s):

Reinforcement Learning ◽

Learning Control ◽

Radar Detection ◽

Detection And Tracking

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A SAG Mill Simulation Platform Enabling Reinforcement Learning Control Evaluation by ITV and AI Center Canada

10.29223/prod.tec.itv.mi.2020.24.vargas ◽

2020 ◽

Author(s):

Thomas Vargas Barsante e Pinto ◽

Thiago Euzébio ◽

Luciano Perdigão Cota

Keyword(s):

Reinforcement Learning ◽

Learning Control ◽

Simulation Platform ◽

Sag Mill ◽

Control Evaluation

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Deep reinforcement learning enabled self-learning control for energy efficient driving

Transportation Research Part C Emerging Technologies ◽

10.1016/j.trc.2018.12.018 ◽

2019 ◽

Vol 99 ◽

pp. 67-81 ◽

Cited By ~ 28

Author(s):

Xuewei Qi ◽

Yadan Luo ◽

Guoyuan Wu ◽

Kanok Boriboonsomsin ◽

Matthew Barth

Keyword(s):

Reinforcement Learning ◽

Energy Efficient ◽

Learning Control ◽

Self Learning

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An Improved DDPG Reinforcement Learning Control of Underwater Gliders for Energy Optimization

2020 3rd International Conference on Unmanned Systems (ICUS) ◽

10.1109/icus50048.2020.9274883 ◽

2020 ◽

Author(s):

Anyan Jing ◽

Zuocheng Tang ◽

Jian Gao ◽

Guang Pan

Keyword(s):

Reinforcement Learning ◽

Energy Optimization ◽

Learning Control ◽

Underwater Gliders

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On the Impact of Drone Airscrews Signature on Passive Radar Detection and Tracking Stages

2020 IEEE Radar Conference (RadarConf20) ◽

10.1109/radarconf2043947.2020.9266658 ◽

2020 ◽

Author(s):

Maria-Pilar Jarabo-Amores ◽

David Mata-Moya ◽

Pedro-Jose Gomez-del-Hoyo ◽

Nerea del-Rey-Maestre ◽

Javier Rosado-Sanz

Keyword(s):

Passive Radar ◽

Radar Detection ◽

Detection And Tracking ◽

The Impact

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Cascade Attribute Network: Decomposing Reinforcement Learning Control Policies using Hierarchical Neural Networks

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.2317 ◽

2020 ◽

Vol 53 (2) ◽

pp. 8181-8186

Author(s):

Haonan Chang ◽

Zhuo Xu ◽

Masayoshi Tomizuka

Keyword(s):

Neural Networks ◽

Reinforcement Learning ◽

Learning Control ◽

Control Policies ◽

Hierarchical Neural Networks

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Online integral reinforcement learning control for an uncertain highly flexible aircraft using state and output feedback

Aerospace Science and Technology ◽

10.1016/j.ast.2020.106442 ◽

2020 ◽

pp. 106442

Author(s):

Chi Peng ◽

Jianjun Ma

Keyword(s):

Reinforcement Learning ◽

Output Feedback ◽

Learning Control ◽

Flexible Aircraft

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Iterative Learning Control (ILC) Guided Reinforcement Learning Control (RLC) Scheme for Batch Processes

2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls49620.2020.9275065 ◽

2020 ◽

Author(s):

Xinghai Xu ◽

Huimin Xie ◽

Jia Shi

Keyword(s):

Reinforcement Learning ◽

Iterative Learning Control ◽

Learning Control ◽

Iterative Learning ◽

Batch Processes

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Reinforcement learning control of constrained dynamic systems with uniformly ultimate boundedness stability guarantee

Automatica ◽

10.1016/j.automatica.2021.109689 ◽

2021 ◽

Vol 129 ◽

pp. 109689

Author(s):

Minghao Han ◽

Yuan Tian ◽

Lixian Zhang ◽

Jun Wang ◽

Wei Pan

Keyword(s):

Reinforcement Learning ◽

Dynamic Systems ◽

Learning Control ◽

Ultimate Boundedness ◽

Uniformly Ultimate Boundedness

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Toward Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control

IEEE Transactions on Robotics ◽

10.1109/tro.2021.3078317 ◽

2021 ◽

pp. 1-10

Author(s):

Minhan Li ◽

Yue Wen ◽

Xiang Gao ◽

Jennie Si ◽

He Huang

Keyword(s):

Reinforcement Learning ◽

Learning Control ◽

Robotic Prosthesis

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On-line Reinforcement Learning Control for Urban Traffic Signals

2007 Chinese Control Conference ◽

10.1109/chicc.2006.4347023 ◽

2006 ◽

Author(s):

Liu Zhi-Yong ◽

Ma Feng-wei

Keyword(s):

Reinforcement Learning ◽

Learning Control ◽

Traffic Signals ◽

Urban Traffic ◽

On Line

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