Turnpike Theory for Mean-Field Games - Connecting Stationary and Dynamic Solutions

Explore the intricacies of turnpike theory for mean-field games in this 41-minute conference talk delivered by Vassily Kolokoltsov at the Alan Turing Institute. Delve into the connection between stationary and dynamic solutions in mean-field game theory, a powerful toolbox for high-dimensional distributed optimization problems. Gain insights into the applications of mean-field games in various domains, including energy production and storage optimization, as well as climate change negotiation modeling. Learn about the basic theory of mean-field games and its relevance to optimization challenges in the energy industry and environmental sciences. This talk is part of a workshop sponsored by the London Mathematical Society and EPSRC, bringing together leading experts and researchers interested in mean-field games and their applications.

Turnpike theory for mean-field games: connecting stationary & dynamic solutions, Vassily Kolokoltsov