5 citations · 11 across the 5 of their papers we have counts for
5 papers · 1 filter
An Optimal Distributed Algorithm with Operator Extrapolation for Stochastic Aggregative Games
Tongyu Wang, Peng Yi, Jie Chen
This work studies Nash equilibrium seeking for a class of stochastic aggregative games, where each player has an expectation-valued objective function depending on its local strate…
Distributed coordination for seeking the optimal Nash equilibrium of aggregative games
Xiaoyu Ma, Jinlong Lei, Peng Yi +1
This paper aims to design a distributed coordination algorithm for solving a multi-agent decision problem with a hierarchical structure. The primary goal is to search the Nash equi…
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…
Decentralized Online Learning for Noncooperative Games in Dynamic Environments
Min Meng, Xiuxian Li, Yiguang Hong +2
Decentralized online learning for seeking generalized Nash equilibrium (GNE) of noncooperative games in dynamic environments is studied in this paper. Each player aims at selfishly…
Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization
Jinlong Lei, Peng Yi, Jie Chen +1
This paper considers a distributed stochastic strongly convex optimization, where agents connected over a network aim to cooperatively minimize the average of all agents' local cos…