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20212026
most citedEfficient Distributed Learning in Stochastic Non-cooperative Games without Information Exchange

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

physics.soc-ph2026

Hyperedge approximation for stochastic processes on higher-order networks

Anzhi Sheng, Alex McAvoy, Ye Tian +3

Graphs are a standard framework for describing dynamical processes shaped by pairwise interactions among agents. But many systems involve interactions in groups of three or more ag…

physics.soc-ph2026

Optimal network structure for collective performance with strategic information sharing

Ye Wang, Andrea Civilini, Anzhi Sheng +3

Information sharing between individuals is crucial to improve performance in collective tasks. However, in a competitive world, individuals may be reluctant to share information wi…

physics.soc-ph2026

Strategy evolution on networks under payoff uncertainty and risk preference

Jiapeng Yu, Anzhi Sheng, Long Wang

Cooperation is a key driver of human social progress. Studies of the evolution of cooperation typically assume a deterministic outcome for social interactions. But in real-world so…

eess.SY2026

Maximum-Entropy Random Walks on Hypergraphs

Anqi Dong, Anzhi Sheng, Xin Mao +1

Random walks are fundamental tools for analyzing complex networked systems, including social networks, biological systems, and communication infrastructures. While classical random…

cs.GT2022★ 1 cited

Efficient Distributed Learning in Stochastic Non-cooperative Games without Information Exchange

Haidong Li, Anzhi Sheng, Yijie Peng +1

In this work, we study stochastic non-cooperative games, where only noisy black-box function evaluations are available to estimate the cost function for each player. Since each pla…

physics.soc-ph2021

The emergence of burstiness in temporal networks

Anzhi Sheng, Qi Su, Aming Li +2

Human social interactions tend to vary in intensity over time, whether they are in person or online. Variable rates of interaction in structured populations can be described by net…

physics.soc-ph2021

Evolutionary dynamics on sequential temporal networks

Anzhi Sheng, Aming Li, Long Wang

It is well-known that population structure is a catalyst for the evolution of cooperation since individuals can reciprocate with their neighbors through local interactions defined…