2 citations · 2 across the 6 of their papers we have counts for
7 papers · 1 filter
Decoding fairness: a reinforcement learning perspective
Guozhong Zheng, Jiqiang Zhang, Xin Ou +2
Behavioral experiments on the ultimatum game (UG) reveal that we humans prefer fair acts, which contradicts the prediction made in orthodox Economics. Existing explanations, howeve…
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,…
Multiplex Graph Contrastive Learning with Soft Negatives
Zhenhao Zhao, Minhong Zhu, Chen Wang +4
Graph Contrastive Learning (GCL) seeks to learn nodal or graph representations that contain maximal consistent information from graph-structured data. While node-level contrasting…
Evolution of cooperation in the public goods game with Q-learning
Guozhong Zheng, Jiqiang Zhang, Shengfeng Deng +2
Recent paradigm shifts from imitation learning to reinforcement learning (RL) is shown to be productive in understanding human behaviors. In the RL paradigm, individuals search for…
Evolution of cooperation with Q-learning: the impact of information perception
Guozhong Zheng, Zhenwei Ding, Jiqiang Zhang +3
The inherent complexity of human beings manifests in a remarkable diversity of responses to intricate environments, enabling us to approach problems from varied perspectives. Howev…
Catalytic evolution of cooperation in a population with behavioural bimodality
Anhui Sheng, Jing Zhang, Guozhong Zheng +3
The remarkable adaptability of humans in response to complex environments is often demonstrated by the context-dependent adoption of different behavioral modes. However, the existi…