logo
today local_bar
🏛 NYU Shanghai

1 paper across 1 session

Poster Session 6

1 paper
Friday, December 5, 2025 · 4:30 PM → 7:30 PM
Exhibit Hall C,D,E
Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics
#404 · Lorenzo Magnino, Kai Shao, Zida Wu, Jiacheng Shen, Mathieu Lauriere

We propose deep RL method to learn both Nash equilibrium policies and distributions in non-stationary, continuous-space MFGs.