Search Results for author:
Found 8 papers, 2 papers with code
Reinforcement Learning for SBM Graphon Games with Re-Sampling
In more realistic scenarios where the block model is unknown, we propose a re-sampling scheme from a graphon integrated with the finite N-player MP-MFG model.
Decentralized Governance of Stablecoins with Closed Form Valuation
We model incentive security in non-custodial stablecoins and derive conditions for participation in a stablecoin system across risk absorbers (vaults/CDPs) and holders of governance tokens.
Provable Fictitious Play for General Mean-Field Games
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 equilibrium.
Stablecoins 2.0: Economic Foundations and Risk-based Models
Stablecoins are one of the most widely capitalized type of cryptocurrency.
While Stability Lasts: A Stochastic Model of Non-Custodial Stablecoins
The `Black Thursday' crisis in cryptocurrency markets demonstrated deleveraging risks in over-collateralized non-custodial stablecoins.
Clustering Degree-Corrected Stochastic Block Model with Outliers
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 a penalization term depending on the positive deviation of a node from the expected number of edges to other inliers.
(In)Stability for the Blockchain: Deleveraging Spirals and Stablecoin Attacks
The possibility of such `deleveraging spirals' was first predicted in the initial release of our paper in 2019 and later directly observed during the `Black Thursday' crisis in Dai in 2020.
Cascading Losses in Reinsurance Networks
We characterize the fixed points of our model and develop efficient algorithms to compute contagion with guarantees on convergence and speed under conditions on network structure.
