Recurrent Structural Policy Gradient for Partially Observable Mean Field Games 事件

Recurrent Structural Policy Gradient for Partially Observable Mean Field Games arXiv:2602.20141v2 Announce Type: replace Abstract: Mean Field Games (MFGs) provide a principled framework for modelling interactions in large population systems. However, algorithmic progress has been limited since model-free methods are high variance and exact methods scale poorly. Recent Hybrid Structural Methods (HSMs) reduce variance while maintaining tractability by leveraging low-dimensional individual state a