41 citations · 53 across the 7 of their papers we have counts for
8 papers
Evolution of fairness in multi-objective reinforcement learning framework
Jingyi Zhang, Xin Ou, Guozhong Zheng +3
Fairness, as a fundamental social norm, continues to pose a longstanding puzzle regarding its emergence. Traditional game-theoretic models largely rely on the assumption of \emph{H…
Evolution of cooperation with Q-learning: how much information do we need?
Yile Ku, Xin Ou, Jiqiang Zhang +3
Cooperation is ubiquitous in both natural and human societies, yet its evolutionary basis remains a major challenge. A long-standing puzzle is whether having more information leads…
A brief review of evolutionary game dynamics in the reinforcement learning paradigm
Guozhong Zheng, Xin Ou, Shengfeng Deng +2
Cooperation, fairness, trust, and resource coordination are cornerstones of modern civilization, yet their emergence remains inadequately explained by the persistent discrepancies…
Dual Reinforcement Learning Synergy in Resource Allocation: Emergence of Self-Organized Momentum Strategy
Zhen-Na Zhang, Guo-Zhong Zhen, Li Chen +4
In natural ecosystems and human societies, self-organized resource allocation and policy synergy are ubiquitous and significant. This work focuses on the synergy between Dual Reinf…
Decoding species coexistence: A reinforcement learning perspective
Kaiwen Jiang, Chenyang Zhao, Shengfeng Deng +3
A central goal in ecology is to understand how biodiversity is maintained. Previous theoretical works have employed the rock-paper-scissors (RPS) game as a toy model, demonstrating…
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…
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…