Distributed Solution of GNEP over Networks via the Douglas-Rachford Splitting Method. - Yuanhanqing Huang; Jianghai Hu (CDC, 2021)

A Primal Decomposition Approach to Globally Coupled Aggregative Optimization over Networks. - Yuanhanqing Huang; Jianghai Hu (CDC, 2021)

Distributed Computation of Stochastic GNE with Partial Information: An Augmented Best-Response Scheme. - Yuanhanqing Huang; Jianghai Hu (CoRR, 2021)

A Distributed Douglas-Rachford Based Algorithm for Stochastic GNE Seeking with Partial Information. - Yuanhanqing Huang; Jianghai Hu (ACC, 2022)

Distributed Stochastic Nash Equilibrium Learning in Locally Coupled Network Games with Unknown Parameters. - Yuanhanqing Huang; Jianghai Hu (L4DC, 2022)

On the Convergence Rates of A Nash Equilibrium Seeking Algorithm in Potential Games with Information Delays. - Yuanhanqing Huang; Jianghai Hu (ACC, 2023)

A Bandit Learning Method for Continuous Games Under Feedback Delays with Residual Pseudo-Gradient Estimate. - Yuanhanqing Huang; Jianghai Hu (CDC, 2023)

Bandit Online Learning in Merely Coherent Games with Multi-Point Pseudo-Gradient Estimate. - Yuanhanqing Huang; Jianghai Hu (CDC, 2023)

Distributed Computation of Stochastic GNE With Partial Information: An Augmented Best-Response Approach. - Yuanhanqing Huang; Jianghai Hu (IEEE Trans. Control. Netw. Syst., 2023)

Offline Learning of Decision Functions in Multiplayer Games with Expectation Constraints. - Yuanhanqing Huang; Jianghai Hu (CoRR, 2024)

Zeroth-Order Learning in Continuous Games via Residual Pseudogradient Estimates. - Yuanhanqing Huang; Jianghai Hu (IEEE Trans. Autom. Control., 2025)