Author

Congying Han

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#artificial intelligence Open access Dec 2024

Preference-based opponent shaping in differentiable games

A novel Preference-based Opponent Shaping (PBOS) method to enhance the strategy learning process by shaping agents’ preferences towards cooperation by incorporating the preference parameter into the agent’s loss function, thus allowing the agent to directly consider the opponent’s loss function when updating the strate...

Xinyu Qiao, Yudong Hu, Cong-Ying Han et al. · Machine-mediated learning · 1 citation

Sep 2026

A Gauss–Seidel Type Inertial Proximal Stochastic Alternating Direction Method of Multipliers for Nonconvex Finite Sum Optimization

This paper establishes that every bounded sequence generated by Gi-PSADMM with the variance-reduced stochastic gradient estimator converges globally to a critical point in expectation and derives the convergence rate of Gi-PSADMM that depends on the KL exponent.

Jia Hu, Shi-Chen Liao, Cong-Ying Han et al. · Applied Mathematics and Opti... · 0 citations