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physics.soc-ph2023
Optimal coordination of resources: A solution from reinforcement learning
Guozhong Zheng, Weiran Cai, Guanxiao Qi +2
Efficient allocation is important in nature and human society, where individuals frequently compete for limited resources. The Minority Game (MG) is perhaps the simplest toy model…
q-bio.PE2023
Decoding trust: A reinforcement learning perspective
Guozhong Zheng, Jiqiang Zhang, Jing Zhang +2
Behavioral experiments on the trust game have shown that trust and trustworthiness are universal among human beings, contradicting the prediction by assuming \emph{Homo economicus}…
physics.soc-ph2023
Emergence of Cooperation in Two-agent Repeated Games with Reinforcement Learning
Zhen-Wei Ding, Guo-Zhong Zheng, Chao-Ran Cai +4
Cooperation is the foundation of ecosystems and the human society, and the reinforcement learning provides crucial insight into the mechanism for its emergence. However, most previ…