327 citations · 2.1k across the 124 of their papers we have counts for
7 papers · 1 filter
An Instrumental Value for Data Production and its Application to Data Pricing
Rui Ai, Boxiang Lyu, Zhaoran Wang +2
How much value does a dataset or a data production process have to an agent who wishes to use the data to assist decision-making? This is a fundamental question towards understandi…
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…
Can We Find Nash Equilibria at a Linear Rate in Markov Games?
Zhuoqing Song, Jason D. Lee, Zhuoran Yang
We study decentralized learning in two-player zero-sum discounted Markov games where the goal is to design a policy optimization algorithm for either agent satisfying two propertie…
The Sample Complexity of Online Contract Design
Banghua Zhu, Stephen Bates, Zhuoran Yang +3
We study the hidden-action principal-agent problem in an online setting. In each round, the principal posts a contract that specifies the payment to the agent based on each outcome…
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…
Towards General Function Approximation in Zero-Sum Markov Games
Baihe Huang, Jason D. Lee, Zhaoran Wang +1
This paper considers two-player zero-sum finite-horizon Markov games with simultaneous moves. The study focuses on the challenging settings where the value function or the model is…