Am Mittwoch, 07. Mai 2025, findet im Rahmen des Ökonomischen Forschungsseminars ein Vortrag von Jeppe Druedahl, Uni Kopenhagen statt. Herr Druedahl steht außerdem am 07. Mai für Meetings zur Verfügung (Am Stadtgraben 9, 3. OG, Raum 317). Termine sind buchbar unter: https://www.wiwi.uni-muenster.de/oeew/de/terminplanung-fose

Das Vortragsthema lautet:
„ Deep Learning Algorithms for Solving Finite-Horizon Models”

We develop and test deep learning algorithms for solving finite-horizon models. We show how the use of neural networks and simulation help tame the curse of dimensionality. We succeed in accurately solving a consumption-saving model with 8 durable goods, convex adjustment costs and irreversible investment in a few hours on a single GPU. We verify the stability and robustness of the solution methods across multiple models with limited hyperparameter tun-
ing. We also show how one of the algorithms can be used to solve a non-convex model with both discrete and continuous choices. Our algorithms are implemented as a user-friendly open source Python package, where it is only necessary to specify high-level information such as the distribution of initial states and shocks, the transition function and the reward function.
 
With Jacob Røpke
 
Link to draft: https://drive.google.com/file/d/1txCSkwSXSQo1zl576g7MdOc2ygoK7ucK/view 

Beginn ist um 16.15 Uhr im Raum StA 1, Am Stadtgraben 9

Weitere Termine finden Sie auf unserer Homepage: https://www.wiwi.uni-muenster.de/oeew/de/forschung/forschungsseminar