Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks

Tobias Brosch; Heiko Neumann; Pieter R. Roelfsema

doi:10.1371/journal.pcbi.1004489

Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks

PLoS Computational Biology ◽

10.1371/journal.pcbi.1004489 ◽

2015 ◽

Vol 11 (10) ◽

pp. e1004489 ◽

Cited By ~ 16

Author(s):

Tobias Brosch ◽

Heiko Neumann ◽

Pieter R. Roelfsema

Keyword(s):

Neural Networks ◽

Reinforcement Learning ◽

Recurrent Neural Networks

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R3L: Connecting Deep Reinforcement Learning To Recurrent Neural Networks For Image Denoising Via Residual Recovery

10.1109/icip42928.2021.9506323 ◽

2021 ◽

Author(s):

Rongkai Zhang ◽

Jiang Zhu ◽

Zhiyuan Zha ◽

Justin Dauwels ◽

Bihan Wen

Keyword(s):

Neural Networks ◽

Reinforcement Learning ◽

Image Denoising ◽

Recurrent Neural Networks

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Integrating recurrent neural networks and reinforcement learning for dynamic service composition

Future Generation Computer Systems ◽

10.1016/j.future.2020.02.030 ◽

2020 ◽

Vol 107 ◽

pp. 551-563 ◽

Cited By ~ 1

Author(s):

Hongbing Wang ◽

Jiajie Li ◽

Qi Yu ◽

Tianjing Hong ◽

Jia Yan ◽

...

Keyword(s):

Neural Networks ◽

Reinforcement Learning ◽

Recurrent Neural Networks ◽

Service Composition ◽

Dynamic Service Composition

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A networked smart home system based on recurrent neural networks and reinforcement learning

Systems Science & Control Engineering ◽

10.1080/21642583.2021.2001769 ◽

2021 ◽

Vol 9 (1) ◽

pp. 775-783

Author(s):

Zhongwang Li ◽

Bin Deng

Keyword(s):

Neural Networks ◽

Reinforcement Learning ◽

Recurrent Neural Networks ◽

Smart Home

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Reinforcement learning under incomplete perception using stochastic gradient ascent and recurrent neural networks

IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028) ◽

10.1109/icsmc.1999.815598 ◽

2003 ◽

Cited By ~ 1

Author(s):

A. Onat ◽

N. Kosino ◽

M. Kuramitu ◽

H. Kita

Keyword(s):

Neural Networks ◽

Reinforcement Learning ◽

Recurrent Neural Networks ◽

Stochastic Gradient ◽

Gradient Ascent ◽

Stochastic Gradient Ascent

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Fuzzy inference-based reinforcement learning of dynamic recurrent neural networks

10.1109/sice.1997.624934 ◽

2002 ◽

Author(s):

Hyo-Byung Jun ◽

Dong-Wook Lee ◽

Dae-Joon Kim ◽

Kwee-Bo Sim

Keyword(s):

Neural Networks ◽

Reinforcement Learning ◽

Recurrent Neural Networks ◽

Fuzzy Inference

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A Study on Architecture, Algorithms and Internal Representation for Reinforcement Learning with Recurrent Neural Networks

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr1965.35.1599 ◽

1999 ◽

Vol 35 (12) ◽

pp. 1599-1608

Author(s):

Ahmet ONAT ◽

Hajime KITA ◽

Yoshikazu NISHIKAWA

Keyword(s):

Neural Networks ◽

Reinforcement Learning ◽

Recurrent Neural Networks ◽

Internal Representation

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Stable reinforcement learning with recurrent neural networks

Journal of Control Theory and Applications ◽

10.1007/s11768-011-0177-1 ◽

2011 ◽

Vol 9 (3) ◽

pp. 410-420 ◽

Cited By ~ 1

Author(s):

James Nate Knight ◽

Charles Anderson

Keyword(s):

Neural Networks ◽

Reinforcement Learning ◽

Recurrent Neural Networks

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Solving Partially Observable Reinforcement Learning Problems with Recurrent Neural Networks

Lecture Notes in Computer Science - Neural Networks: Tricks of the Trade ◽

10.1007/978-3-642-35289-8_38 ◽

2012 ◽

pp. 709-733 ◽

Cited By ~ 3

Author(s):

Siegmund Duell ◽

Steffen Udluft ◽

Volkmar Sterzing

Keyword(s):

Neural Networks ◽

Reinforcement Learning ◽

Recurrent Neural Networks ◽

Learning Problems ◽

Partially Observable

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Recurrent neural networks for reinforcement learning: architecture, learning algorithms and internal representation

1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227) ◽

10.1109/ijcnn.1998.687168 ◽

2002 ◽

Cited By ~ 4

Author(s):

A. Onat ◽

H. Kita ◽

Y. Nishikawa

Keyword(s):

Neural Networks ◽

Reinforcement Learning ◽

Recurrent Neural Networks ◽

Learning Algorithms ◽

Internal Representation

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Robust Reinforcement Learning Control Using Integral Quadratic Constraints for Recurrent Neural Networks

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2007.899520 ◽

2007 ◽

Vol 18 (4) ◽

pp. 993-1002 ◽

Cited By ~ 19

Author(s):

Charles W. Anderson ◽

Peter Michael Young ◽

Michael R. Buehner ◽

James N. Knight ◽

Keith A. Bush ◽

...

Keyword(s):

Neural Networks ◽

Reinforcement Learning ◽

Recurrent Neural Networks ◽

Learning Control ◽

Quadratic Constraints ◽

Integral Quadratic Constraints

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