13 citations · 24 across the 8 of their papers we have counts for
4 papers · 1 filter
The Computable but Not Learnable Information-Value-Free Equilibria and Regulation of Algorithmic Collusion
Jason D. Hartline, Chang Wang, Chenhao Zhang
A correlated equilibrium is information-value-free if every player has an action that yields the same payoff as their equilibrium strategy when all other players follow their respe…
Incentivizing User Data Contributions for LLM Improvement under Withdrawal Rights
Di Feng, Chenhao Zhang, Zhanzhan Zhao
The continued improvement of large language models (LLMs) increasingly depends on eliciting high-quality, user-generated data, yet such data are costly to provide and often withhel…
Regulation of Algorithmic Collusion, Refined: Testing Pessimistic Calibrated Regret
Jason D. Hartline, Chang Wang, Chenhao Zhang
We study the regulation of algorithmic (non-)collusion amongst sellers in dynamic imperfect price competition by auditing their data as introduced by Hartline et al. [2024]. We dev…
Regulation of Algorithmic Collusion
Jason D. Hartline, Sheng Long, Chenhao Zhang
Consider sellers in a competitive market that use algorithms to adapt their prices from data that they collect. In such a context it is plausible that algorithms could arrive at pr…