Using machine learning to understand complex auctions

Using a new machine learning algorithm, a team at the TUM (Contact person: Prof. Martin Bichler, Professor of Decision Sciences and Systems) has succeeded in analyzing complex markets and their equilibrium strategies. Until now, such analyses were limited to very simple auction markets. The new numerical method opens up new possibilities for economic theory and new applications as in wireless spectrum auctions, among others.

See press release