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Self-optimizing adaptive optics control with Reinforcement Learning for
  high-contrast imaging

Self-optimizing adaptive optics control with Reinforcement Learning for high-contrast imaging

24 August 2021
Rico Landman
S. Haffert
V. M. Radhakrishnan
C. Keller
ArXivPDFHTML

Papers citing "Self-optimizing adaptive optics control with Reinforcement Learning for high-contrast imaging"

4 / 4 papers shown
Title
Model-free reinforcement learning with noisy actions for automated experimental control in optics
Model-free reinforcement learning with noisy actions for automated experimental control in optics
Lea Richtmann
Viktoria-S. Schmiesing
Dennis Wilken
Jan Heine
Aaron Tranter
Avishek Anand
Tobias J. Osborne
M. Heurs
33
2
0
24 May 2024
Laboratory Experiments of Model-based Reinforcement Learning for
  Adaptive Optics Control
Laboratory Experiments of Model-based Reinforcement Learning for Adaptive Optics Control
J. Nousiainen
Byron Engler
Markus Kasper
C. Rajani
T. Helin
C. Heritier
S. Quanz
A. Glauser
13
9
0
30 Dec 2023
Tempestas ex machina: A review of machine learning methods for wavefront
  control
Tempestas ex machina: A review of machine learning methods for wavefront control
Jules Fowler
Rico Landman
11
9
0
01 Sep 2023
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
239
7,916
0
13 Jun 2015
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