PO4NCPA applies model-based RL to focal-plane images via sequential phase diversity to correct static and dynamic NCPAs, achieving near-optimal suppression in simulations for coronagraphic and non-coronagraphic cases.
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Focal plane wavefront control with model-based reinforcement learning
PO4NCPA applies model-based RL to focal-plane images via sequential phase diversity to correct static and dynamic NCPAs, achieving near-optimal suppression in simulations for coronagraphic and non-coronagraphic cases.