3 papers
cs.AI2026
Recurrent Structural Policy Gradient for Partially Observable Mean Field Games
Clarisse Wibault, Johannes Forkel, Sebastian Towers +9
Mean Field Games (MFGs) provide a principled framework for modelling interactions in large population systems. However, algorithmic progress has been limited since model-free metho…
econ.TH2025
Structural Reinforcement Learning for Heterogeneous Agent Macroeconomics
Yucheng Yang, Chiyuan Wang, Andreas Schaab +1
We present a new approach to formulating and solving heterogeneous agent models with aggregate risk. We replace the cross-sectional distribution with low-dimensional prices as stat…
cs.GT2024
Sample-Efficient Regret-Minimizing Double Oracle in Extensive-Form Games
Xiaohang Tang, Chiyuan Wang, Chengdong Ma +3
Extensive-Form Game (EFG) represents a fundamental model for analyzing sequential interactions among multiple agents and the primary challenge to solve it lies in mitigating sample…