activity
20182022
most citedLinearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization

3 citations · 5 across the 7 of their papers we have counts for

collaborators

8 papers

cs.GT2022

Generalized Multi-cluster Game under Partial-decision Information with Applications to Management of Energy Internet

Yue Chen, Peng Yi

The decision making and management of many engineering networks involves multiple parties with conflicting interests, while each party is constituted with multiple agents. Such pro…

math.OC2022

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…

math.OC2022

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…

cs.LG2022

No-regret learning for repeated non-cooperative games with lossy bandits

Wenting Liu, Jinlong Lei, Peng Yi +1

This paper considers no-regret learning for repeated continuous-kernel games with lossy bandit feedback. Since it is difficult to give the explicit model of the utility functions i…

eess.SY20211 cited

Nash Equilibrium Seeking for High-order Multi-agent Systems with Unknown Dynamics

Yutao Tang, Peng Yi

In this paper, we consider a Nash equilibrium seeking problem for a class of high-order multi-agent systems with unknown dynamics. Different from existing results for single integr…

math.OC20201 cited

Distributed Optimization Over Markovian Switching Random Network

Peng Yi, Li Li

In this paper, we investigate the distributed convex optimization problem over a multi-agent system with Markovian switching communication networks. The objective function is the s…