Learning to Mitigate AI Collusion on Economic Platforms

15 February 2022

Papers citing "Learning to Mitigate AI Collusion on Economic Platforms"

7 / 7 papers shown

Title
Learning Collusion in Episodic, Inventory-Constrained Markets Paul Friedrich Barna Pásztor Giorgia Ramponi 33 1 0 24 Oct 2024
Learning Revenue-Maximizing Auctions With Differentiable Matching Michael J. Curry Uro Lyi Tom Goldstein John P. Dickerson 33 20 0 15 Jun 2021
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning Neehar Peri Michael J. Curry Samuel Dooley John P. Dickerson 46 31 0 06 Jun 2021
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning Kevin Kuo Anthony Ostuni Elizabeth Horishny Michael J. Curry Samuel Dooley Ping Yeh-Chiang Tom Goldstein John P. Dickerson 36 25 0 13 Oct 2020
Auction learning as a two-player game Jad Rahme Samy Jelassia Matthew Weinberga 49 45 0 10 Jun 2020
A Permutation-Equivariant Neural Network Architecture For Auction Design Jad Rahme Samy Jelassi Joan Bruna S. M. Weinberg 46 46 0 02 Mar 2020
M $^3$ RL: Mind-aware Multi-agent Management Reinforcement Learning Tianmin Shu Yuandong Tian 74 53 0 29 Sep 2018