Tao Lin
  • Bio
  • News
  • Research
  • Publications
  • Talks
  • Experience
  • Recent & Upcoming Talks
    • Example Talk
  • Journal Publications
    • From Monopoly to Competition: When Do Optimal Contests Prevail?
  • Working Papers
    • Learning to Coordinate Bidders in Non-Truthful Auctions
    • Learning a Game by Paying the Agents
  • Publications
    • Generalized Principal-Agent Problem with a Learning Agent
    • Information Design with Unknown Prior
    • User-Creator Feature Polarization in Recommender Systems with Dual Influence
    • Bias Detection via Signaling
    • Multi-Sender Persuasion: A Computational Perspective
    • Learning Thresholds with Latent Values and Censored Feedback
    • Sample Complexity of Forecast Aggregation
    • From Monopoly to Competition: Optimal Contests Prevail
    • Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions
    • How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues
    • Learning Utilities and Equilibria in Non-Truthful Auctions
    • A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling
    • Private Data Manipulation in Optimal Sponsored Search Auction
  • Recent & Upcoming Talks
    • How to Avoid Polarization in Recommender Systems with Dual Influence?
    • Bayesian Persuasion with a Learning Agent
    • Generalized Principal-Agent Problem with a Learning Agent
    • Private Data Manipulation in Sponsored Search Auctions
    • Sample Complexity of Forecast Aggregation
    • Persuading a Behavioral Agent: Approximately Best Responding and Learning
    • Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions
    • Robustness of Empirical Revenue Maximization in Auction Learning
  • Projects
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    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Example_projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience
  • Teaching
    • Learn JavaScript
    • Learn Python
  • Notes
    • How Does Independence Help Generalization? Sample Complexity of ERM on Product Distributions
    • On Clearing Prices in Matching Markets: A Simple Characterization without Duality
  • Example_publications
    • An example preprint / working paper
    • An example journal article
    • An example conference paper

Learning a Game by Paying the Agents

Mar 5, 2025·
Brian Hu Zhang*
,
Tao Lin*
,
Yiling Chen
,
Tuomas Sandholm
· 0 min read
PDF Cite
Last updated on Mar 5, 2025
← Learning to Coordinate Bidders in Non-Truthful Auctions Jul 4, 2025

© 2025. This work is licensed under CC BY NC ND 4.0

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