The paper entitled “Finite-State Controllers of POMDPs using Parameter Synthesis” by Sebastian Junges, Nils Jansen, Ralf Wimmer, Tim Quatmann, Leonore Winterer, Bernd Becker, and Joost-Pieter Katoen has been accepted for the Uncertainty in AI 2018 Conference in Monterrey, USA. The key idea of the paper is that that computing randomised FSCs on POMDPs is equivalent to (and computationally as hard as) synthesis for parametric Markov chains.