Toward on-sky adaptive optics control using reinforcement learning-model-based policy optimization for adaptive optics

J Nousiainen, C Rajani, M Kasper, T Helin… - Astronomy & …, 2022 - aanda.org
Context. The direct imaging of potentially habitable exoplanets is one prime science case for
the next generation of high contrast imaging instruments on ground-based, extremely large …

Tempestas ex machina: a review of machine learning methods for wavefront control

J Fowler, R Landman - Techniques and Instrumentation for …, 2023 - spiedigitallibrary.org
As we look to the next generation of adaptive optics systems, now is the time to develop and
explore the technologies that will allow us to image rocky Earth-like planets; wavefront …

Adaptive optics control with multi-agent model-free reinforcement learning

B Pou, F Ferreira, E Quinones, D Gratadour… - Optics express, 2022 - opg.optica.org
We present a novel formulation of closed-loop adaptive optics (AO) control as a multi-agent
reinforcement learning (MARL) problem in which the controller is able to learn a non-linear …

Nonlinear wave front reconstruction from a pyramid sensor using neural networks

AP Wong, BRM Norris, V Deo, PG Tuthill… - Publications of the …, 2023 - iopscience.iop.org
The pyramid wave front sensor (PyWFS) has become increasingly popular to use in
adaptive optics (AO) systems due to its high sensitivity. The main drawback of the PyWFS is …

Integrating supervised and reinforcement learning for predictive control with an unmodulated pyramid wavefront sensor for adaptive optics

B Pou, J Smith, E Quinones, M Martin, D Gratadour - Optics Express, 2024 - opg.optica.org
We propose a novel control approach that combines offline supervised learning to address
the challenges posed by non-linear phase reconstruction using unmodulated pyramid …

Image-based wavefront correction using model-free reinforcement learning

Y Gutierrez, J Mazoyer, LM Mugnier… - Optics …, 2024 - opg.optica.org
Optical aberrations prevent telescopes from reaching their theoretical diffraction limit. Once
estimated, these aberrations can be compensated for using deformable mirrors in a closed …

Making the unmodulated Pyramid wavefront sensor smart-Closed-loop demonstration of neural network wavefront reconstruction with MagAO-X

R Landman, SY Haffert, JR Males, LM Close… - Astronomy & …, 2024 - aanda.org
Almost all current and future high-contrast imaging instruments will use a Pyramid wavefront
sensor (PWFS) as a primary or secondary wavefront sensor. The main issue with the PWFS …

Model-free reinforcement learning with a non-linear reconstructor for closed-loop adaptive optics control with a pyramid wavefront sensor

B Pou, J Smith, E Quinones, M Martin… - … Optics Systems VIII, 2022 - spiedigitallibrary.org
We present a model-free reinforcement learning (RL) predictive model with a supervised
learning non-linear reconstructor for adaptive optics (AO) control with a pyramid wavefront …

Advances in model-based reinforcement learning for adaptive optics control

J Nousiainen, B Engler, M Kasper… - … Optics Systems VIII, 2022 - spiedigitallibrary.org
Direct imaging of Earth-like exoplanets is one of the significant scientific drivers of the next
generation of ground-based telescopes. Typically, Earth-like exoplanets are located at tiny …

Laboratory experiments of model-based reinforcement learning for adaptive optics control

J Nousiainen, B Engler, M Kasper… - Journal of …, 2024 - spiedigitallibrary.org
Direct imaging of Earth-like exoplanets is one of the most prominent scientific drivers of the
next generation of ground-based telescopes. Typically, Earth-like exoplanets are located at …