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20212025
most citedGeneralized Principal-Agency: Contracts, Information, Games and Beyond

1 citations · 5 across the 10 of their papers we have counts for

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cs.GT2025

Data Auctions for Retrieval Augmented Generation

Minbiao Han, Seyed A. Esmaeili, Michael Albert +1

We study the problem of data selling for Retrieval Augmented Generation (RAG) tasks in Generative AI applications. We model each buyer's valuation of a dataset with a natural cover…

cs.GT2025

Is Learning Effective in Dynamic Strategic Interactions? Evidence from Stackelberg Games

Michael Albert, Quinlan Dawkins, Minbiao Han +1

In many settings of interest, a policy is set by one party, the leader, in order to influence the action of another party, the follower, where the follower's response is determined…

cs.GT2024

Escape Sensing Games: Detection-vs-Evasion in Security Applications

Niclas Boehmer, Minbiao Han, Haifeng Xu +1

Traditional game-theoretic research for security applications primarily focuses on the allocation of external protection resources to defend targets. This work puts forward the stu…

cs.GT2023★ 1 cited

Learning in Online Principal-Agent Interactions: The Power of Menus

Minbiao Han, Michael Albert, Haifeng Xu

We study a ubiquitous learning challenge in online principal-agent problems during which the principal learns the agent's private information from the agent's revealed preferences…

cs.GT2023★ 1 cited

Robust Stackelberg Equilibria

Jiarui Gan, Minbiao Han, Jibang Wu +1

This paper provides a systematic study of the robust Stackelberg equilibrium (RSE), which naturally generalizes the widely adopted solution concept of the strong Stackelberg equili…

cs.GT2022★ 1 cited

Generalized Principal-Agency: Contracts, Information, Games and Beyond

Jiarui Gan, Minbiao Han, Jibang Wu +1

In the principal-agent problem formulated by Myerson'82, agents have private information (type) and make private decisions (action), both of which are unobservable to the principal…

cs.GT2021★ 1 cited

The Limits of Optimal Pricing in the Dark

Quinlan Dawkins, Minbiao Han, Haifeng Xu

A ubiquitous learning problem in today's digital market is, during repeated interactions between a seller and a buyer, how a seller can gradually learn optimal pricing decisions ba…