20 citations · 31 across the 13 of their papers we have counts for
14 papers
Dynamics of Multi-Agent Actor-Critic Learning in Stochastic Games: from Multistability and Chaos to Stable Cooperation
Yuxin Geng, Wolfram Barfuss, Feng Fu +1
Achieving robust coordination and cooperation is a central challenge in multi-agent reinforcement learning (MARL). Uncovering the mechanisms underlying such emergent behaviors call…
Social Imitation Dynamics of Vaccination Driven by Vaccine Effectiveness and Beliefs
Feng Fu, Ran Zhuo, Xingru Chen
Declines in vaccination coverage for vaccine-preventable diseases, such as measles and chickenpox, have enabled their surprising comebacks and pose significant public health challe…
Unbending strategies shepherd cooperation and suppress extortion in spatial populations
Zijie Chen, Yuxin Geng, Xingru Chen +1
Evolutionary game dynamics on networks typically consider the competition among simple strategies such as cooperation and defection in the Prisoner's Dilemma and summarize the effe…
Mathematics of multi-agent learning systems at the interface of game theory and artificial intelligence
Long Wang, Feng Fu, Xingru Chen
Evolutionary Game Theory (EGT) and Artificial Intelligence (AI) are two fields that, at first glance, might seem distinct, but they have notable connections and intersections. The…
Determinants of successful mitigation in coupled social-climate dynamics
Longmei Shu, Feng Fu
Understanding the impact of human behavior is crucial for successful mitigation of climate change across the globe. To shed light onto this issue, here we couple the forest dieback…
Determinants of successful disease control through voluntary quarantine dynamics on social networks
Simiao Shi, Zhiyuan Wang, Xingru Chen +1
In the wake of epidemics, quarantine measures are typically recommended by health authorities or governments to help control the spread of the disease. Compared with mandatory quar…
Identifying Bridges and Catalysts for Persistent Cooperation Using Network-Based Approach
Xingru Chen, Feng Fu
The framework of iterated Prisoner's Dilemma (IPD) is commonly used to study direct reciprocity and cooperation, with a focus on the assessment of the generosity and reciprocal fai…
Steering control of payoff-maximizing players in adaptive learning dynamics
Xingru Chen, Feng Fu
Evolutionary game theory provides a mathematical foundation for cross-disciplinary fertilization, especially for integrating ideas from artificial intelligence and game theory. Suc…
Complex Systems of Secrecy: The Offshore Networks of Oligarchs
Ho-Chun Herbert Chang, Brooke Harrington, Feng Fu +1
Following the invasion of Ukraine, the US, UK, and EU governments--among others--sanctioned oligarchs close to Putin. This approach has come under scrutiny, as evidence has emerged…
The Geometry of Zero-Determinant Strategies
Xingru Chen, Long Wang, Feng Fu
The advent of Zero-Determinant (ZD) strategies has reshaped the study of reciprocity and cooperation in the iterated Prisoner's Dilemma games. The ramification of ZD strategies has…
Outlearning Extortioners by Fair-minded Unbending Strategies
Xingru Chen, Feng Fu
Recent theory shows that extortioners taking advantage of the zero-determinant (ZD) strategy can unilaterally claim an unfair share of the payoffs in the Iterated Prisoner's Dilemm…
Highly coordinated nationwide massive travel restrictions are central to effective mitigation and control of COVID-19 outbreaks in China
Xingru Chen, Feng Fu
The COVID-19, the disease caused by the novel coronavirus 2019 (SARS-CoV-2), has caused graving woes across the globe since first reported in the epicenter Wuhan, Hubei, China, Dec…
Social learning of prescribing behavior can promote population optimum of antibiotic use
Xingru Chen, Feng Fu
The rise and spread of antibiotic resistance causes worsening medical cost and mortality especially for life-threatening bacteria infections, thereby posing a major threat to globa…
Risk-Aware Multi-Armed Bandit Problem with Application to Portfolio Selection
Xiaoguang Huo, Feng Fu
Sequential portfolio selection has attracted increasing interests in the machine learning and quantitative finance communities in recent years. As a mathematical framework for rein…