AO-RL

Predictive control in adaptive optics

Institution:

Institution

Research Group:

Predictable Parallel Computing

Researcher/s:

Eduardo Quiñones Moreno, Bartomeu Pou Mulet

AO-RL

Website:

https://github.com/Tomeu7/Integrating-SL-and-RL-for-AO

Description:

A set of reinforcement learning (RL) methods for predictive control in adaptive optics. Through trial and error, we learn a function that maps information of a wavefront sensor (WFS) to commands to a deformable mirror to correct for wavefront distortions created by the atmosphere when observing with ground-based telescopes. We have tested different wavefront sensors and instrument simulations.

Problem:

N/A

Solution:

N/A

Aplication areas:

N/A

Novelty:

N/A

Protection:

License (BSD)

Target market:

N/A

Keywords:

N/A

TRL: N/A

CRL: N/A

BRL: N/A

IPRL: N/A

TmRL: N/A

FRL: N/A

More information

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