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physics.soc-ph2025
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…
physics.soc-ph2024
Cooperation in Public Goods Games: Leveraging Other-Regarding Reinforcement Learning on Hypergraphs
Bo-Ying Li, Zhen-Na Zhang, Guo-Zhong Zheng +3
Cooperation as a self-organized collective behavior plays a significant role in the evolution of ecosystems and human society. Reinforcement learning (RL) offers a new perspective,…
physics.soc-ph2024
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…