Institution:
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Predictable Parallel Computing
Eduardo Quiñones Moreno, Bartomeu Pou Mulet
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.
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License (BSD)
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TRL: N/A
CRL: N/A
BRL: N/A
IPRL: N/A
TmRL: N/A
FRL: N/A
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