Deep learning for principal-agent mean field games

In this paper we develop a deep learning algorithm for solving Principal-Agent (PA) mean field games with market-clearing conditions.

Functional Portfolio Optimization in Stochastic Portfolio Theory

In this paper we develop a concrete and fully implementable approach to the optimization of functionally generated portfolios in stochastic portfolio theory.