ABSTRACT We explore the possibility of using machine learning to estimate physical parameters directly from active galactic nucleus (AGN) X-ray spectra without needing computationally expensive spectral fitting. Specifically, we consider survey quality data, rather than long pointed observations, ensure that this approach works in regime where it is most likely be applied. simulate Athena Wide ...