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

no code implementations • 1 Sep 2023 • J. Fowler, Rico Landman

With the rise in popularity of machine learning, many are investigating applying modern machine learning methods to wavefront control.

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

no code implementations • 24 Aug 2021 • Rico Landman, Sebastiaan Y. Haffert, Vikram M. Radhakrishnan, Christoph U. Keller

Next, we show in simulations that our algorithm can also be applied to the control of a high-order deformable mirror.

reinforcement-learning Reinforcement Learning (RL)

Self-optimizing adaptive optics control with Reinforcement Learning

no code implementations • 3 Dec 2020 • Rico Landman, Sebastiaan Y. Haffert, Vikram M. Radhakrishnan, Christoph U. Keller

We conclude that Reinforcement Learning is a promising approach towards data-driven predictive control; future research will apply this approach to the control of high-order deformable mirrors

Instrumentation and Methods for Astrophysics