#CEBRA2022 - Session 1: Deep Neural Networks and Reinforcement Learning in Central Banking

#CEBRA2022 @Central Bank Research Association CEBRA 2022 CEBRA ANNUAL MEETING August 29-31, 2022 at the Universitat Pompeu Fabra, Ciutadella Campus, Barcelona, Spain. Inflation, Policy and Market Structure (Track B) Session 1: Deep Neural Networks and Reinforcement Learning in Central Banking Organised by: Bank of England Papers and Speakers: “Estimating Nonlinear Heterogeneous Agents Models with Neural Networks” by Matthias Rottner (Deutsche Bundesbank). Discussant: Danila Smirnov (UPF&BSE) “Deep Reinforcement Learning in a Monetary Model” by Chen et al., presented by Andreas Joseph (Bank of England). Discussant: Albert Marcet (CREI, ICREA, BSE and UPF) “Estimating Policy Functions in Payments Systems Using Reinforcement Learning” by Castro et al., presented by Ajit Desai (Bank of Canada). Discussant: Natascha Hinterlang (Deutsche Bundesbank) “Deep Learning model fragility and implications for financial stability and regulation” Kumar et al. (BoE & UCL, presented by Rishabh Kumar (Bank of England) and Nigel Kingsman (UCL). Discussant: Natascha Hinterlang (Deutsche Bundesbank) Disclaimer: All views expressed are strictly those of the authors, discussants, and other participants and not those of CEBRA, the co‐sponsoring institutions or any other institutions.