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20182026
most citedLogarithmic regret for episodic continuous-time linear-quadratic reinforcement learning over a finite-time horizon

12 citations · 34 across the 14 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

math.OC2022★ 1 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…

math.OC2022★ 2 cited

MF-OMO: An Optimization Formulation of Mean-Field Games

Xin Guo, Anran Hu, Junzi Zhang

This paper proposes a new mathematical paradigm to analyze discrete-time mean-field games. It is shown that finding Nash equilibrium solutions for a general class of discrete-time…