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cs.LG2020
Provable Fictitious Play for General Mean-Field Games
Qiaomin Xie, Zhuoran Yang, Zhaoran Wang +1
We propose a reinforcement learning algorithm for stationary mean-field games, where the goal is to learn a pair of mean-field state and stationary policy that constitutes the Nash…
cs.LG2019
Clustering Degree-Corrected Stochastic Block Model with Outliers
Xin Qian, Yudong Chen, Andreea Minca
For the degree corrected stochastic block model in the presence of arbitrary or even adversarial outliers, we develop a convex-optimization-based clustering algorithm that includes…