6 citations · 6 across the 3 of their papers we have counts for
4 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…
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…