no code implementations • 10 Jul 2020 • Amit Kadan, Hu Fu
Motivated by Generative Adversarial Networks, we study the computation of Nash equilibrium in concave network zero-sum games (NZSGs), a multiplayer generalization of two-player zero-sum games first proposed with linear payoffs.
no code implementations • NeurIPS 2020 • Hu Fu, Tao Lin
In non-truthful auctions, agents' utility for a strategy depends on the strategies of the opponents and also the prior distribution over their private types; the set of Bayes Nash equilibria generally has an intricate dependence on the prior.
no code implementations • 11 Mar 2019 • John Pang, Weixuan Lin, Hu Fu, Jack Kleeman, Eilyan Bitar, Adam Wierman
In this paper, we analyze the worst case efficiency loss of online platform designs under a networked Cournot competition model.
Computer Science and Game Theory
