AINeutralarXiv – CS AI · 6h ago5/10
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Robust $Q$-learning for mean-field control under Wasserstein uncertainty in common noise
Researchers have developed a robust Q-learning algorithm for mean-field control problems that handles uncertainty in common noise using Wasserstein distance methods. The algorithm combines quantization-projection schemes with dual reformulation and demonstrates convergence guarantees with finite-time bounds, validated through systemic risk and epidemic modeling simulations.