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20182022
most citedOptimization frameworks and sensitivity analysis of Stackelberg mean-field games

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

math.OC20221 cited

Optimization frameworks and sensitivity analysis of Stackelberg mean-field games

Xin Guo, Anran Hu, Jiacheng Zhang

This paper proposes and studies a class of discrete-time finite-time-horizon Stackelberg mean-field games, with one leader and an infinite number of identical and indistinguishable…

cs.LG2021

Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods

Xin Guo, Anran Hu, Junzi Zhang

When designing algorithms for finite-time-horizon episodic reinforcement learning problems, a common approach is to introduce a fictitious discount factor and use stationary polici…

math.OC2019

MFGs for partially reversible investment

Haoyang Cao, Xin Guo

This paper analyzes a class of infinite-time-horizon stochastic games with singular controls motivated from the partially reversible problem. It provides an explicit solution for t…

math.PR2018

Consistency and Computation of Regularized MLEs for Multivariate Hawkes Processes

Xin Guo, Anran Hu, Renyuan Xu +1

This paper proves the consistency property for the regularized maximum likelihood estimators (MLEs) of multivariate Hawkes processes (MHPs). It also develops an alternating minimiz…

math.OC2018

Stochastic Games for Fuel Followers Problem: N vs MFG

Xin Guo, Renyuan Xu

In this paper we formulate and analyze an -player stochastic game of the classical fuel follower problem and its Mean Field Game (MFG) counterpart. For the -player game, we o…