3 citations · 4 across the 2 of their papers we have counts for
3 papers
math.OC2023★ 1 cited
Distributed Non-Bayesian Learning for Games with Incomplete Information
Shijie Huang, Jinlong Lei, Yiguang Hong
We consider distributed learning problem in games with an unknown cost-relevant parameter, and aim to find the Nash equilibrium while learning the true parameter. Inspired by the s…
math.OC2022
No-Regret Learning in Network Stochastic Zero-Sum Games
Shijie Huang, Jinlong Lei, Yiguang Hong
No-regret learning has been widely used to compute a Nash equilibrium in two-person zero-sum games. However, there is still a lack of regret analysis for network stochastic zero-su…
math.OC2021★ 3 cited
No-regret distributed learning in subnetwork zero-sum games
Shijie Huang, Jinlong Lei, Yiguang Hong +2
In this paper, we consider a distributed learning problem in a subnetwork zero-sum game, where agents are competing in different subnetworks. These agents are connected through tim…