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20242026
most citedMean Field LQG Social Optimization: A Reinforcement Learning Approach

7 citations · 8 across the 5 of their papers we have counts for

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math.OC2026

Inverse reinforcement learning for indefinite mean-field social optimization with multiplicative noise

Ying Cao, Xun Li, Bing-Chang Wang

This paper studies the inverse reinforcement learning (RL) problem for linear-quadratic mean-field (MF) social optimization. The considered system features multiplicative noise and…

math.OC2026

Stabilizer Design for Policy Iteration in Stochastic Linear Quadratic Control: A Spectrum-Assignment Approach

Xinyu Cao, Bing-Chang Wang, Ying Cao

Policy iteration (PI) is an important reinforcement learning tool for solving optimal control problems which includes an initialization stage, i.e., the search for an initial stabi…