A model-based reinforcement learning method based on conditional generative adversarial networks

Pattern Recognition Letters ◽

10.1016/j.patrec.2021.08.019 ◽

2021 ◽

Vol 152 ◽

pp. 18-25

Author(s):

Tingting Zhao ◽

Ying Wang ◽

Guixi Li ◽

Le Kong ◽

Yarui Chen ◽

...

Keyword(s):

Reinforcement Learning ◽

Generative Adversarial Networks ◽

Learning Method ◽

Model Based ◽

Adversarial Networks

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Plantar pressure image classification employing residual-network model-based conditional generative adversarial networks: a comparison of normal, planus, and talipes equinovarus feet

Soft Computing ◽

10.1007/s00500-021-06073-w ◽

2021 ◽

Author(s):

Jianlin Han ◽

Dan Wang ◽

Zairan Li ◽

Nilanjan Dey ◽

Rubén González Crespo ◽

...

Keyword(s):

Image Classification ◽

Network Model ◽

Plantar Pressure ◽

Generative Adversarial Networks ◽

Residual Network ◽

Model Based ◽

Adversarial Networks ◽

Talipes Equinovarus

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Reinforcement Learning Versus Generative Adversarial Networks for Video Summarization

2021 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) ◽

10.1109/miucc52538.2021.9447645 ◽

2021 ◽

Author(s):

Mohamed Aboelenien ◽

Mohammed A.-M. Salem

Keyword(s):

Reinforcement Learning ◽

Video Summarization ◽

Generative Adversarial Networks ◽

Adversarial Networks

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An imbalanced data learning method for tool breakage detection based on generative adversarial networks

Journal of Intelligent Manufacturing ◽

10.1007/s10845-021-01806-y ◽

2021 ◽

Author(s):

Shixu Sun ◽

Xiaofeng Hu ◽

Yingchao Liu

Keyword(s):

Imbalanced Data ◽

Generative Adversarial Networks ◽

Learning Method ◽

Tool Breakage ◽

Adversarial Networks ◽

Imbalanced Data Learning

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SLC-GAN: An Automated Myocardial Infarction Detection Model Based on Generative Adversarial Networks and Convolutional Neural Networks with Single-Lead Electrocardiogram Synthesis

Information Sciences ◽

10.1016/j.ins.2021.12.083 ◽

2022 ◽

Author(s):

Wenqiang Li ◽

Yuk Ming Tang ◽

Kai Ming Yu ◽

Suet To

Keyword(s):

Myocardial Infarction ◽

Neural Networks ◽

Convolutional Neural Networks ◽

Generative Adversarial Networks ◽

Detection Model ◽

Model Based ◽

Adversarial Networks

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A Traffic Video Completion Model Based on Generative Adversarial Networks

10.1007/978-981-16-6372-7_71 ◽

2021 ◽

pp. 658-669

Author(s):

Lan Wu ◽

Han Wang ◽

Tian Gao ◽

Binquan Li ◽

Fanshi Kong

Keyword(s):

Generative Adversarial Networks ◽

Model Based ◽

Adversarial Networks ◽

Video Completion ◽

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Experienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication

IEEE Transactions on Communications ◽

10.1109/tcomm.2020.3031930 ◽

2020 ◽

pp. 1-1 ◽

Author(s):

Ali Taleb Zadeh Kasgari ◽

Walid Saad ◽

Mohammad Mozaffari ◽

H. Vincent Poor

Keyword(s):

Reinforcement Learning ◽

Generative Adversarial Networks ◽

Low Latency ◽

Adversarial Networks

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Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp40776.2020.9053795 ◽

2020 ◽

Author(s):

Ryuichi Yamamoto ◽

Eunwoo Song ◽

Jae-Min Kim

Keyword(s):

Generative Adversarial Networks ◽

Generation Model ◽

Model Based ◽

Adversarial Networks ◽

Waveform Generation

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A Deep Reinforcement Learning Method for Model-based Optimal Control of HVAC Systems

10.14305/ibpc.2018.ec-1.01 ◽

2018 ◽

Author(s):

Zhiang Zhang ◽

Chenlu Zhang ◽

Khee Poh Lam

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Hvac Systems ◽

Learning Method ◽

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A Music Generation Model Based on Generative Adversarial Networks with Bayesian Optimization

Lecture Notes in Electrical Engineering - Proceedings of 2020 Chinese Intelligent Systems Conference ◽

10.1007/978-981-15-8450-3_17 ◽

2020 ◽

pp. 155-164

Author(s):

Yijie Xu ◽

Xueqing Yang ◽

Yiming Gan ◽

Wuneng Zhou ◽

Hangyang Cheng ◽

...

Keyword(s):

Bayesian Optimization ◽

Generative Adversarial Networks ◽

Generation Model ◽

Model Based ◽

Adversarial Networks ◽

Music Generation

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A Semi-supervised Learning Method for Automatic Nuclei Segmentation Using Generative Adversarial Networks

Studies in Computational Intelligence - Artificial Intelligence and Robotics ◽

10.1007/978-3-030-56178-9_4 ◽

2020 ◽

pp. 39-56

Author(s):

Chuanrui Hu ◽

Kai Cheng ◽

Jianhuo Shen ◽

Jianfei Liu ◽

Teng Li

Keyword(s):

Supervised Learning ◽

Generative Adversarial Networks ◽

Learning Method ◽

Nuclei Segmentation ◽

Adversarial Networks

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