AINeutralarXiv – CS AI · 14h ago6/10
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Recurrent Structural Policy Gradient for Partially Observable Mean Field Games
Researchers introduce Recurrent Structural Policy Gradient (RSPG), an algorithmic advancement for solving Mean Field Games with partial observability by combining policy gradient methods with structural knowledge of system dynamics. The method achieves significantly faster convergence than model-free approaches while enabling history-aware behavior, accompanied by MFAX, a new JAX-based research framework for MFG implementations.