Game Model Learning for Mean Field Games

We present an approach to learning models for mean field games from simulation data with a coarse coding scheme that abstracts away the time-dependent complexity and dramatically simplifies the input representation.

Authors

• Yongzhao Wang
• Michael P. Wellman University of Michigan

Keywords

• Mean Field Games
• Game Model Learning