Zhemei Fang — accepted AI-conference papers

2025

Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies

Qi Ju, Thomas Tellier, Meng Sun, Zhemei Fang, YunFeng Luo

ICML 2025poster

Artificial intelligence (AI) has surpassed top human players in a variety of games. In imperfect information games, these achievements have primarily been driven by Counterfactual Regret Minimization (CFR) and its variants for computing Nash equilibrium. However, most existing research has focused o…

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2024

Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play

Qi Ju, Falin Hei, Ting Feng, Dengbing Yi, Zhemei Fang, YunFeng Luo

NeurIPS 2024poster

Counterfactual Regret Minimization (CFR) and its variants are widely recognized as effective algorithms for solving extensive-form imperfect information games. Recently, many improvements have been focused on enhancing the convergence speed of the CFR algorithm. However, most of these variants are n…

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