research
∙
04/25/2023
Directed Chain Generative Adversarial Networks
Real-world data can be multimodal distributed, e.g., data describing the...
share
research
∙
07/02/2022
Deep Learning for Systemic Risk Measures
The aim of this paper is to study a new methodological framework for sys...
research
∙
02/13/2022
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
We study the problem of reinforcement learning (RL) with low (policy) sw...
research
∙
06/06/2021
Signatured Deep Fictitious Play for Mean Field Games with Common Noise
Existing deep learning methods for solving mean-field games (MFGs) with ...
research
∙
09/14/2020
