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Interferobot: aligning an optical interferometer by a reinforcement
  learning agent
v1v2 (latest)

Interferobot: aligning an optical interferometer by a reinforcement learning agent

Neural Information Processing Systems (NeurIPS), 2020
3 June 2020
Dmitry Sorokin
Alexander Ulanov
E. A. Sazhina
A. Lvovsky
ArXiv (abs)PDFHTML

Papers citing "Interferobot: aligning an optical interferometer by a reinforcement learning agent"

12 / 12 papers shown
Active Alignments of Lens Systems with Reinforcement Learning
Active Alignments of Lens Systems with Reinforcement Learning
Matthias Burkhardt
Tobias Schmähling
Pascal Stegmann
Michael Layh
Tobias Windisch
226
1
0
03 Mar 2025
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
381
3
0
24 May 2024
Composite Bayesian Optimization In Function Spaces Using NEON -- Neural
  Epistemic Operator Networks
Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator NetworksScientific Reports (Sci Rep), 2024
Leonardo Ferreira Guilhoto
P. Perdikaris
BDL
297
6
0
03 Apr 2024
TreeDQN: Learning to minimize Branch-and-Bound tree
TreeDQN: Learning to minimize Branch-and-Bound tree
Dmitry Sorokin
A. Kostin
185
1
0
09 Jun 2023
A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
A Study of Bayesian Neural Network Surrogates for Bayesian OptimizationInternational Conference on Learning Representations (ICLR), 2023
Y. Li
Tim G. J. Rudner
A. Wilson
BDL
270
51
0
31 May 2023
Scalable Bayesian optimization with high-dimensional outputs using
  randomized prior networks
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks
Mohamed Aziz Bhouri
M. Joly
Robert Yu
S. Sarkar
P. Perdikaris
BDLUQCVAI4CE
317
2
0
14 Feb 2023
Aligning an optical interferometer with beam divergence control and
  continuous action space
Aligning an optical interferometer with beam divergence control and continuous action spaceConference on Robot Learning (CoRL), 2021
Stepan Makarenko
Dmitry Sorokin
Alexander Ulanov
A. Lvovsky
AI4CE
121
4
0
09 Jul 2021
Adaptation of Quadruped Robot Locomotion with Meta-Learning
Adaptation of Quadruped Robot Locomotion with Meta-Learning
A. Kuzhamuratov
Dmitry Sorokin
Alexander Ulanov
A. Lvovsky
125
1
0
08 Jul 2021
Bayesian Optimization with High-Dimensional Outputs
Bayesian Optimization with High-Dimensional Outputs
Wesley J. Maddox
Maximilian Balandat
A. Wilson
E. Bakshy
UQCV
235
60
0
24 Jun 2021
Reinforcement learning for optimization of variational quantum circuit
  architectures
Reinforcement learning for optimization of variational quantum circuit architecturesNeural Information Processing Systems (NeurIPS), 2021
M. Ostaszewski
Lea M. Trenkwalder
Wojciech Masarczyk
Eleanor Scerri
Vedran Dunjko
233
175
0
30 Mar 2021
Discovering Diverse Solutions in Deep Reinforcement Learning by
  Maximizing State-Action-Based Mutual Information
Discovering Diverse Solutions in Deep Reinforcement Learning by Maximizing State-Action-Based Mutual InformationNeural Networks (NN), 2021
Takayuki Osa
Voot Tangkaratt
Masashi Sugiyama
298
35
0
12 Mar 2021
Playing optical tweezers with deep reinforcement learning: in virtual,
  physical and augmented environments
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments
M. Praeger
Yunhui Xie
J. Grant-Jacob
R. Eason
B. Mills
305
12
0
05 Nov 2020
1
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