3 papers
cs.LG2025
Deep Neural Operator Learning for Probabilistic Models
Erhan Bayraktar, Qi Feng, Zecheng Zhang +1
We propose a deep neural-operator framework for a general class of probability models. Under global Lipschitz conditions on the operator over the entire Euclidean space-and for a b…
cs.GT2025
The Learning Approach to Games
Melih İşeri, Erhan Bayraktar
This work introduces a unified framework for analyzing games in greater depth. In the existing literature, players' strategies are typically assigned scalar values, and equilibrium…
math.OC2025
Ergodicity and turnpike properties of linear-quadratic mean field control problems
Erhan Bayraktar, Jiamin Jian
We study the asymptotic behavior of solutions to linear-quadratic mean field stochastic optimal control problems. By formulating an ergodic control framework, we characterize the c…