61 citations · 252 across the 80 of their papers we have counts for
4 papers · 1 filter
Learning Regularized Graphon Mean-Field Games with Unknown Graphons
Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang +1
We design and analyze reinforcement learning algorithms for Graphon Mean-Field Games (GMFGs). In contrast to previous works that require the precise values of the graphons, we aim…
Learning Regularized Monotone Graphon Mean-Field Games
Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang +1
This paper studies two fundamental problems in regularized Graphon Mean-Field Games (GMFGs). First, we establish the existence of a Nash Equilibrium (NE) of any -regularized GMF…
Differentiable Bilevel Programming for Stackelberg Congestion Games
Jiayang Li, Jing Yu, Qianni Wang +3
In a Stackelberg congestion game (SCG), a leader aims to maximize their own gain by anticipating and manipulating the equilibrium state at which the followers settle by playing a c…
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence
Boyi Liu, Jiayang Li, Zhuoran Yang +4
To regulate a social system comprised of self-interested agents, economic incentives are often required to induce a desirable outcome. This incentive design problem naturally posse…