Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions

8 October 2021

Papers citing "Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions"

7 / 7 papers shown

Title
Learning in Markets with Heterogeneous Agents: Dynamics and Survival of Bayesian vs. No-Regret Learners David Easley Yoav Kolumbus Éva Tardos 87 0 0 12 Feb 2025
On the Interplay between Social Welfare and Tractability of Equilibria Ioannis Anagnostides T. Sandholm 42 2 0 10 Jan 2025
Paying to Do Better: Games with Payments between Learning Agents Y. Kolumbus Joe Halpern Éva Tardos 19 1 0 31 May 2024
Learning in Repeated Multi-Unit Pay-As-Bid Auctions Rigel Galgana Negin Golrezaei 14 1 0 27 Jul 2023
The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations Nicolò Cesa-Bianchi Tommaso Cesari Roberto Colomboni Federico Fusco S. Leonardi 10 7 0 14 Jul 2023
Artificial Intelligence and Auction Design M. Banchio Andrzej Skrzypacz 31 28 0 12 Feb 2022
Auctions Between Regret-Minimizing Agents Y. Kolumbus N. Nisan 19 40 0 22 Oct 2021