4 papers
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…
Stablecoins 2.0: Economic Foundations and Risk-based Models
Ariah Klages-Mundt, Dominik Harz, Lewis Gudgeon +2
Stablecoins are one of the most widely capitalized type of cryptocurrency. However, their risks vary significantly according to their design and are often poorly understood. We see…
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…
Cascading Losses in Reinsurance Networks
Ariah Klages-Mundt, Andreea Minca
We develop a model for contagion in reinsurance networks by which primary insurers' losses are spread through the network. Our model handles general reinsurance contracts, such as…